Friday, January 29, 2010

Security skills provide top draw across still challenging U.S. IT jobs landscape

Listen to the podcast. Read a full transcript or download a copy. Find it on iTunes/iPod and Podcast.com. Learn more. Charter Sponsor: Active Endpoints. Also sponsored by TIBCO Software.

Special offer: Download a free, supported 30-day trial of Active Endpoint's ActiveVOS at www.activevos.com/insight.

Gain additional data and analysis from Foote Partners on the IT jobs market.

The latest BriefingsDirect Analyst Insights Edition, Volume 48, centers on the IT job landscape for 2010. We interview David Foote, CEO and chief research officer, as well as co-founder, at Foote Partners LLC of Vero Beach, Fla.

David closely tracks the hiring and human resources trends across the IT landscape. He'll share his findings of where the recession has taken IT hiring and where the recovery will shape up. We'll also look at what skills are going to be in demand and which ones are not. David will help those in IT, or those seeking to enter IT, identify where the new job opportunities lie.

This periodic discussion and dissection of IT infrastructure related news and events, with a panel of industry analysts and guests, comes to you with the help of our charter sponsor, Active Endpoints, maker of the ActiveVOS business process management system, and through the support of TIBCO Software. I'm your host and moderator Dana Gardner, principal analyst at Interarbor Solutions.

Here are some excerpts:
I co-founded this company with a former senior partner at McKinsey. We developed a number of products and took them out in 1997. We not only have that big IT executive and trends focus as analysts, but also very much a business focus.

We've also populated this company with people from the HR industry, because one of the products we are best known for is the tracking of pay and demand for IT salaries and skills.

We have a proprietary database -- which I'll be drawing from today -- of about 2,000 companies in the U.S. and Canada. It covers about 95,000 IT workers. We use this base to monitor trends and to collect information about compensation and attitudes and what executives are thinking about as they manage IT departments.

For many years, IT people were basically people with deep technical skills in a lot of areas of infrastructure, systems, network, and communications. Then, the Internet happened.

All of a sudden, huge chunks of the budget in IT moved into lines of business. That opened the door for a lot of IT talent that wasn't simply defined as technical, but also customer facing and with knowledge of the business, the industry, and solutions. We've been seeing a maturation of that all along.

What's happened in the last three years is that, when we talk about workforce issues and trends, the currency in IT is much more skills versus jobs, and part of what's inched that along has been outsourcing.

If you need to get something done, you can certainly purchase that and hire people full-time or you can rent it by going anywhere in the world, Vietnam, Southeast Asia, India, or many other places. Essentially, you are just purchasing a market basket of skills. Or, these days, you can give it over to somebody, and by that I mean managed services, which is the new form of what has been traditionally called outsourcing.

It's not so much about hiring, but about how we determine what skills we need, how we find those, and how we execute. What's really happened in two or three years is that the speed at which decisions are made and then implemented has gotten to the point where you have to make decisions in a matter of days and weeks, and not months.

Resisting the temptation

There have been some interesting behaviors during this recession that I haven't seen in prior recessions. That lead me to believe that people have really resisted the temptation to reduce cost at the expense of what the organization will look like in 2011 or 2012, when we are past this recession and are back into business as usual.

People have learned something. That's been a big difference in the last three years. ... Unemployment in IT is usually half of what it is in the general job market, if you look at Bureau of Labor Statistics (BLS) numbers. I can tell you right now that jobs, in terms of unemployment in IT, have really stabilized.

In the last three months [of 2009] there was a net gain of 11,200 jobs in these five [IT] categories. If you look at the previous eight months, prior to September, there was a loss of 31,000 jobs.


So going into 2010, the services industry will absolutely be looking for talent. There's going to be probably a greater need for consultants, and companies looking for help in a lot of the execution. That's because there are still a lot of hiring restrictions out there right now. Companies simply cannot go to the market to find bodies, even if they wanted to.

Companies are still very nervous about hiring, or to put it this way, investing in full-time talent, when the overhead on a full-time worker is usually 80-100 percent of their salaries. If they can find that talent somewhere else, they are going to hire it.

There are certain areas, for example, like security, where there is a tendency to not want to hire talent outside, because this is too important to a company. There are certain legacy skills that are important, but in terms of things like security, a lot of the managed services that have been purchased in 2009 were small- to medium-sized companies that simply don't have big IT staffs.

If you have 5,000, 6,000, or 7,000 people working in IT, you're probably going to do a lot of your own security, but small and medium size have not, and that's an extremely hot area right now to be working in.

We track the value of skills and premium pay for skills, and the only segment of IT that has actually gained value, since the recession started in 2007, is security, and it has been progressive. We haven't seen a downturn in its value in one quarter.

High demand for security certification

Since 2007, when this recession started, overall the market value of security certs is up 3 percent. But if you look at all 200 certified skills that we track in this survey that we do of 406 skills, overall skills have dropped about 6.5 percent in value, but security certifications are up 2.9.

It is a tremendous place to be right now. We've asked people exactly what skills they're hiring, and they have given us this list: forensics, identity and access management, intrusion detection and prevention systems, disk file-level encryption solutions, including removable media, data leakage prevention, biometrics, web content filters, VoIP security, some application security, particularly in small to medium sized companies (SMBs), and governance, compliance, and audit, of course.

The public sector has been on a real tear. As you do, we get a lot of privileged information. One of the things that we have heard from a number of sources, I can't tell you the reason why, is that a lot of recruiting is happening in the private sector right now with the National Security Agency and Homeland Security -- in-the-trenches people.

I think there was a feeling that there weren't enough real deep technical, in-the-trenches kind of talent, in security. There were a lot of policy people, but not enough actual talent. Because of the Cyber Security Initiative, particularly under the current administration, there has been a lot of hiring.

Managed services looks like one of the hottest areas right now, especially in networking and communication: Metro Ethernet, VPNs, IP voice, and wireless security. And if you look at the wireless security market right now, it’s a $9 billion market in Europe. It’s a $5.7 billion market in Asia-Pacific. But in North America it’s between $4 and 5 billion.

There's a lot of activity in wireless security. We have to go right down into every one of these segments. I could give you an idea of where the growth is spurting right now. North America is not leading a lot of this. Other parts of the world are leading this, which gives our companies opportunities to play in those markets as well.

For many years, as you know, Dana, it was everybody taking on America, but now America is taking on the rest of the world. They're looking at opportunities abroad, and that’s had a bigger impact on labor as well. If you're building products and forming alliances and partnerships with companies abroad, you're using their talent and you're using your talent in their countries. There is this global labor arbitrage, global workforce, that companies have right now, and not just the North American workforce.
Listen to the podcast. Read a full transcript or download a copy. Find it on iTunes/iPod and Podcast.com. Learn more. Charter Sponsor: Active Endpoints. Also sponsored by TIBCO Software.

Special offer: Download a free, supported 30-day trial of Active Endpoint's ActiveVOS at www.activevos.com/insight.

Gain additional data and analysis from Foote Partners on the IT jobs market.

Apple and Oracle on way to do what IBM and Microsoft could not: Dominate entire markets

I was a bit distracted from the Apple iPad news due to the marathon Oracle conference Wednesday on its shiny new Sun Microsystems acquisition.

But the more I thought about it, the more these two companies are extremely well positioned to actually fulfill what other powerful companies tried to do and failed. Apple and Oracle may be unstoppable in their burgeoning power to dominate the collection of profits across vast and essential markets for decades.

Apple is well on the way to dominating the way that multimedia content is priced and distributed, perhaps unlike any company since Hearst in its 1920s heyday. Apple is not killing the old to usher in the new, as Google is. Apple is rescuing the old media models with a viable online direct payment model. Then it will take all the real dough.

The iPad is a red herring, almost certainly a loss leader, like Apple TV. The real business is brokering a critical mass of music, spoken word, movies, TV, books, magazines, and newspapers. All the digital content that's fit to access. The iPad simply helps convince the producers and consumers to take the iTunes and App Store model into the domain of the formerly printed word. It should work, too.

Oracle is off to becoming the one-stop shop for mission-critical enterprise IT ... as a service. IT can come as an Oracle-provided service, from soup to nuts, applications to silicon. The "service" is that you only need go to Oracle, and that the stuff actually works well. Just leave the driving to Oracle. It should work, too.

This is a mighty attractive bid right now to a lot of corporations. The in-house suppliers of raw compute infrastructure resources are caught in a huge, decades-in-the-making vice -- of needing to cut costs, manage energy, reduce risk and back off of complexity. Can't do that under the status quo.

In doing complete IT package gig, Oracle has signaled the end of the best-of-breed, heterogeneous, and perhaps open source components era of IT. In the new IT era, services are king. The way you actually serve or acquire them is far less of a concern. Enterprises focus on the business and the IT comes, well, like electricity.

This is why "cloud" makes no sense to Oracle's CEO Larry Ellison. He'd rather we take out the word "cloud" from cloud computing and replace it with "Oracle." Now that makes sense!

All the necessary ingredients

Oracle has all the major parts and smarts it needs to do this, by the way. Oracle may need an acquisition or two more for better management and perhaps hosting. But that's about it.

Like Apple, Oracle is not killing the old IT era to usher in the new. Oracle is rescuing the old IT models with a viable complete IT acquisition model. Then it too will take all the real dough.

Incidentally, IBM tired to, and came quite close to a similar variety of enterprise IT domination. That was more than 30 years ago. IBM was an era or two too early. Microsoft tried, and came moderately close -- at least in vision -- to the same thing, moving from the desktop backward into the data center. But, alas, Microsoft was also an era too early.

Both Sun and IBM were seduced over the past 15 years by the interchangeable parts version of IT ... It's what Java is all about. Microsoft hated Java, never veered from their all-us-or-nothing mantle, which is now passing to Oracle. But Microsoft never had the heft in the core enterprise data center to pull it off. Oracle does.

Yes, Apple and Oracle have clearly learned well from their brethren. And the timing has never been better, the recession a god-send.

So now as consumers, we have some big choices .... er, actually maybe we have a big buy-in, yes, but maybe not too much in the way of choices. As any mainstream consumer and producer of media, I will really need to do business with Apple. Not too much choice. Convenience across the content supply chain has become the killer app. And I love it all the way.

I want my MTV, my New York Times, my Mahler and my Madmen. Apple gets it to me as I wish at an acceptable price. Case closed. The end device is not so important any more, be it big, medium or small, be it Mac or PC. Because of my full-bore consumer seduction, the producers of the content need to follow the gold Apple ring. Same for consumer applications and games, though they are all fundamentally content.

As an IT services buyer, Oracle is making a similar offer. Convenience is killer for IT managers too. Oracle, through its appliances, integrated stack, data ecosystem, tuned high-end hardware, business applications, business intelligence, and sales account heft, leaves me breathless. And taking a next breath will probably have an Oracle SLA attached. Whew!

Critical mass in the accounts that matter

Oracle is already irreplaceable in all -- and I mean all -- the major enterprise accounts. Oracle can substantially now reduce complexity across the IT infrastructure front, while seemingly cutting costs, apparently reducing risk. But a huge portion of the total savings goes into Oracle's pockets, making it stronger in more ways in more accounts for 20 years. Now they can take the lion's share of the profits in the IT as a service era. I call that dominance.

So let's hear it for the balancing acts still standing. Go IBM! Go Microsoft! Go Google! Go HP! Go SAP! How about Cisco and EMC? You all go for as long as you can, please. Or at least as long as it takes for the next IT and media eras to arrive. [Disclosure: HP is a sponsor of BriefingsDirect podcasts.]

These handful of companies are about the only insurance policies against Apple and Oracle being able to price with impunity across vast markets that deeply affect us all.

Wednesday, January 27, 2010

Oracle's Sun Java strategy: Business as usual

This guest post comes courtesy of Tony Baer’s OnStrategies blog. Tony is a senior analyst at Ovum.

By Tony Baer

In an otherwise pretty packed news day, we’d like to echo @mdl4’s sentiments about the respective importance of Apple’s and Oracle’s announcements: “Oracle finalized its purchase of Sun. Best thing to happen to Sun since Java. Also: I don’t give a sh#t about the iPad. I said it.”

There’s little new in observing that on the platform side, that Oracle’s acquisition of Sun is a means for turning the clock back to the days of turnkey systems in a post-appliance era. History truly has come full circle as Oracle in its original database incarnation was one of the prime forces that helped decouple software from hardware.

Fast forward to the present, and customers are tired of complexity and just want things that work. Actually, that idea was responsible for the emergence of specialized appliances over the past decade for performing tasks ranging from SSL encryption/decryption to XML processing, firewalls, email, or specialized web databases.

The implication here is that the concept is elevated to enterprise level; instead of a specialized appliance, it’s your core instance of Oracle databases, middleware, or applications. And even there, it’s but a logical step forward from Oracle’s past practice of certifying specific configurations of its database on Sun (Sun was, and now has become again, Oracle’s reference development platform).

That’s in essence the argument for Oracle to latch onto a processor architecture that is overmatched in investment by Intel for the x86 line. The argument could be raised than in an era of growing interest in cloud, as to whether Oracle is fighting the last war. That would be the case – except for the certainty that your data center has just as much chance of dying as your mainframe.

Question of second source

At the end of the day, it’s inevitably a question of second source. Dana Gardner opines that Oracle will replace Microsoft as the hedge to IBM. Gordon Haff contends that alternate platform sources are balkanizing as Cisco/EMC/VMware butts their virtualized x86 head into the picture and customers look to private clouds the way they once idealized grids.

The highlight for us was what happens to Sun’s Java portfolio, and as it turns out, the results are not far from what we anticipated last spring: Oracle’s products remain the flagship offerings. From looking at respective market shares, it would be pretty crazy for Oracle to have done otherwise.

The general theme was that – yes – Sun’s portfolio will remain the “reference” technologies for the JCP standards, but that these are really only toys that developers should play with. When they get serious, they’re going to keep using WebLogic, not Glassfish. Ditto for:

• Java software development. You can play around with NetBeans, which Oracle’s middleware chief Thomas Kurian characterized as a “lightweight development environment,” but again, if you really want to develop enterprise-ready apps for the Oracle platform, you will still use JDeveloper, which of course is written for Oracle’s umbrella ADF framework that underlies its database, middleware, and applications offerings. That’s identical to Oracle’s existing posture with the old (mostly) BEA portfolio of Eclipse developer tools. Actually, the only thing that surprised us was that Oracle didn’t simply take NetBeans and set it free – as in donating it to Apache or some more obscure open source body.

The more relevant question for MySQL is whether Oracle will fork development to favor Solaris on SPARC. This being open source, there would be nothing stopping the community from taking the law into its own hands.



• SOA, where Oracle’s SOA Suite remains front and center while Sun’s offerings go on maintenance.

We’re also not surprised as tot he prominent role of JavaFX in Oracle’s RIA plans; it fills a vacumm created when Oracle tgerminated BEA’s former arrangement to bundle Adobe Flash/Flex development tooling. Inactualityy, Oracle has become RIA agnosatic, as ADF could support any of the frameworks for client display, but JavaFX provides a technology that Oracle can call its own.

There were some interesting distinctions with identity management and access, where Sun inherited some formidable technologies that, believe it or not, originated with Netscape. Oracle Identity management will grab some provisioning technology from the Sun stack, but otherwise Oracle’s suite will remain the core attraction. But Sun’s identity and access management won’t be put out to pasture, as it will be promoted for midsized web installations.

There are much bigger pieces to Oracle’s announcements, but we’ll finish with what becomes of MySQL. In shirt there’s nothing surprising to the announcement that MySQL will be maintained in a separate open source business unit – the EU would not have allowed otherwise. But we’ve never bought into the story that Oracle would kill MySQL. Both databases aim at different markets. Just about the only difference that Oracle’s ownership of MySQL makes – besides reuniting it under the same corporate umbrella as the InnoDB data store – is that, well, like yeah, MySQL won’t morph into an enterprise database. Then again, even if MySQL had remained independent, that arguably it was never going to evolve to the same class of Oracle as the product would lose its believed simplicity.

The more relevant question for MySQL is whether Oracle will fork development to favor Solaris on SPARC. This being open source, there would be nothing stopping the community from taking the law into its own hands.

This guest post comes courtesy of Tony Baer’s OnStrategies blog. Tony is a senior analyst at Ovum.

Friday, January 22, 2010

The Christmas Day bomber, Moore’s Law, and enterprise IT's new challenges

This guest BriefingsDirect post comes courtesy of Jason Bloomberg, managing partner at ZapThink.

By Jason Bloomberg

Amid the posturing and recriminations following this past December’s ill-fated terrorist attack by the alleged Nigerian Christmas bomber, the underlying cause of the intelligence breach has gone all but unnoticed.

How is it the global post-9/11 anti-terrorist machine could miss a lone Nigerian with explosives in his underwear? After all, chatter included reference to “the Nigerian,” his own father gave warning, he was on a terrorist watch list, and he purchased a one-way ticket to Detroit, paid cash, and checked no luggage. You’d think any one of these bits of information would set off alarms, and the fact that the intelligence community missed the lot is a sign of sheer incompetence, right?

Not so fast. Such a conclusion is actually fallacious. The missing piece of the puzzle is the fact that there are hundreds of thousands of monthly air travelers, and millions of weekly messages that constitutes he chatter the intelligence community routinely follows. And that watch list? Hundreds of thousands of names, to be sure.

Furthermore, the quantity of information that agents must follow is increasing at an exponential rate. So, while it seems in retrospect that agents missed a huge red flag, in actuality there is so much noise that even the combination of warnings taken together was lost in a sea of noise. A dozen red flags, yes, but could you discern a dozen red grains of sand on a beach?

The true reason behind the intelligence breach is far more subtle than simple incompetence, and furthermore, the solution is just as difficult to discern. The most interesting part of this discussion from ZapThink’s perspective, naturally, is the implication for enterprise IT.

The global intelligence community is but one enterprise among many dealing with exponentially increasing quantities and complexity of information. All other enterprises, in the private as well as public sector, face similar challenges: As Moore’s Law and its corollaries proceed on their inexorable path, what happens when the human ability to deal with the resulting information overload falls short? How can you help your organization keep from getting lost in the noise?

The governance crisis point

Strictly speaking, Moore’s Law states that the number of transistors that current technology can cram onto a chip of a given size will increase exponentially over time. But the transistors on a chip are really only the tip of the iceberg; along with processing power we have exponential growth in hard drive capacity, network speed, and other related measures – what we’re calling corollaries to Moore’s Law. And of course, there’s also the all-important corollary to Murphy’s Law that states that the quantity of information available will naturally expand to fill all available space.

Anybody who remembers the wheat and chessboard problem knows that this explosion of information will lead to problems down the road. IT vendors, of course, have long seen this trend as a huge opportunity, and have risen to the occasion with tools to help organizations manage the burgeoning quantity of information. What vendors cannot do, however, is improve how people deal with this problem.

Fundamentally, human capabilities at best grow linearly. Our brains, after all, are not subject to Moore’s Law, and even so, enterprises depend far more on the interactions among people than on the contributions of individuals taken separately. While the number of transistors may double every 18 months, our management, analysis, and other communication skills will only see gradual improvements at best.

This disconnect leads to what ZapThink calls the governance crisis point, as illustrated in the figure below.

The governance crisis point

The diagram above illustrates the fact that while the quantity and complexity of information in any enterprise grows exponentially, the human ability to deal with that information at best grows linearly. No matter where you put the two curves, eventually the one overtakes the other at the governance crisis point, leading to the “governance crisis point problem”: Eventually, human activities are unable to deal with the quantity and complexity of information.

Unfortunately, no technology can solve this problem, because technology only affects the exponential curve. I’m sure today’s intelligence agents have state-of-the-art analysis tools, since after all, if they don’t have them, then who does? But the bomber was still able to get on the plane.

Furthermore, neither is the solution to this problem a purely human one. We’d clearly be fooling ourselves to think that if only we worked harder or smarter, we might be able to keep up. Equally foolish would be the assumption we might be able to slow down the exponential growth of information. Like it or not, this curve is an inexorable juggernaut.

SOA to the rescue?

Seeing as this article is from ZapThink, you might think that service-oriented architecture (SOA) is the answer to this problem. In fact, SOA plays a support role, but the core of the solution centers on governance, hence the name of the crisis point. Anyone who’s been through our Licensed ZapThink Architect course or our SOA & Cloud Governance course understands that the relationship between SOA and governance is a complex one, as SOA depends upon governance but also enables governance for the organization at large.

Just so with the governance crisis point problem: Neither technology nor human change will solve the problem, but a better approach to formalizing the interactions between people and technology give us a path to the solution. The starting point is to understand that governance involves creating, communicating, and enforcing policies that are important to an organization, and that those policies may be anywhere on a spectrum from human-centric to technology-centric. In the context of SOA, then, the first step is to represent certain policies as metadata, and incorporate those metadata in the organization’s governance framework.

In practice, the governance team sorts the policies within scope of the current project into those policies that are best handled by human interactions and those policies that lend themselves to automation. Representing the latter set of policies as metadata enables the SOA governance infrastructure to automate policy enforcement as well as other policy-based processes. Such policy representations alone, however. cannot solve the governance crisis point problem.

The answer lies in how the governance team deals with policies, in other words, what are their polices regarding policies, or what ZapThink likes to call metapolicies. Working through the organization’s policies for dealing with governance, and automating those policies, gives the organization a “metapolicy feedback loop” approach to leveraging the power of technology to improve governance overall.

Catching terrorists and other IT management challenges

How this metapolicy feedback loop might help intelligence agents catch the next terrorist provides a simple illustration of how any enterprise might approach their own information explosion challenges. First, how do agents deal with information today? Basically, they have an information challenge, they implement tools to address that challenge, and they have policies for how to use those tools, as the expression below illustrates:

Information problem --> tools --> policies for using tools --> governance

Now, the challenge with the expression above is that it’s static; it doesn’t take into account the fact that the information problem explodes exponentially, while governance best practices grow linearly. As a result, eventually the quantity of information overwhelms the capabilities of the tools, leading to failures like the explosive in the underwear. Instead, here’s how the expression should work:

Information problem --> tools --> policies for using tools --> metapolicies for dealing with governance --> next-generation governance tools --> best practice approach for dealing with information problem over time

Essentially, the crisis point requires a new level of interaction between human activity and technology capability, a technology-enabled governance feedback loop that promises to enable any enterprise to deal with the information explosion, regardless of whether you’re catching terrorists or pleasing shareholders.

The ZapThink take

Okay, so just how does SOA fit into this story? Remember that as enterprise architecture, SOA consists of a set of best practices for organizing and leveraging IT resources to meet business needs, and the act of applying and enforcing such practices is what we mean by governance. Furthermore, SOA provides a best-practice approach for implementing governance, not just of the services that the SOA implementation supports, but for the organization as a whole.

In essence, SOA leads to a more formal approach to governance, where organizations are able to leverage technology to improve the creation, communication, and enforcement of policies across the board, including those policies that deal with how to automate such governance processes. In the intelligence example, SOA might help agents leverage technology to identify suspicious patterns more effectively by allowing them to craft increasingly sophisticated intelligence policies. In the general case, SOA can lead to more effective management decision making across large organizations.

There is, of course, more to this story. We’ve discussed the problem of too much information before, in our ZapFlash on Net-Centricity, for example. Technology progress leaving people behind is a common thread to all of ZapThink’s research.

If you’re struggling with your own information explosion issues, whether you’re in the intelligence community, the U.S. Department of Defense, or simply struggling with the day-to-day reality that is enterprise IT, drop us a line! Maybe we can help you prevent your next intelligence breach in your organization.

This guest BriefingsDirect post comes courtesy of Jason Bloomberg, managing partner at ZapThink.


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Monday, January 18, 2010

Technical and economic incentives mount for seeking alternatives to costly mainframe applications

Listen to the podcast. Find it on iTunes/iPod and Podcast.com. Read a full transcript or download a copy. Learn more. Sponsor: Hewlett-Packard.


Gain more insights into "Application Transformation: Getting to the Bottom Line" via a series of regional HP virtual conferences:

Access the regional Asia Pacific conference, the EMEA conference, or the Americas event.

A growing number of technical and economic incentives are mounting that make a strong case for modernizing and transforming enterprise mainframe applications -- and the aging infrastructure that support them.

IT budget planners are using the strident economic environment to force a harder look at alternatives to inflexible and hard-to-manage legacy systems, especially as enterprises seek to cut their total and long-term IT operations spending.

The rationale around reducing total costs is also forcing a recognition of the intrinsic difference between core applications and so-called context -- context being applications that are there for commodity productivity reasons, not for core innovation, customization or differentiation.

With a commodity productivity application, the most effective delivery is on the lowest-cost platform or from a provider. The problem is that 20 or 30 years ago, people put everything on mainframes. They wrote it all in code.

The challenge now is how to free up the applications that are not offering any differentiation -- and do not need to be on a mainframe -- and which could be running on a much more lower cost infrastructure, or come from a completely different means of delivery, such as software as a service (SaaS).

There are demonstrably much less expensive ways of delivering such plain vanilla applications and services, and significant financial rewards for separating the core from the context in legacy enterprise implementations.

This discussion is the third and final in a series that examines "Application Transformation: Getting to the Bottom Line." The series coincides with a trio of Hewlett-Packard (HP) virtual conferences on the same subject.
Access the regional Asia Pacific conference, the EMEA conference, or the Americas event.
Helping to examine how alternatives to mainframe computing can work, we're joined by John Pickett, worldwide mainframe modernization program manager at HP; Les Wilson, America's mainframe modernization director at HP, and Paul Evans, worldwide marketing lead on applications transformation at HP. The discussion is moderated by BriefingsDirect's Dana Gardner, principal analyst at Interarbor Solutions.

Here are some excerpts:
Evans: We have seen organizations doing a lot with their infrastructure, consolidating it, virtualizing it, all the right things. At the same time, a lot of CIOs or IT directors know that the legacy applications environment has been somewhat ignored.

Now, with the pressure on cost, people are saying, "We've got to do something, but what can come out of that and what is coming out of that?" People are looking at this and saying, "We need to accomplish two things. We need a longer term strategy. We need an operational plan that fits into that, supported by our annual budget."

Foremost is this desire to get away from this ridiculous backlog of application changes, to get more agility into the system, and to get these core applications, which are the ones that provide the differentiation and the innovation for organizations, able to communicate with a far more mobile workforce.

What people have to look at is where we're going strategically with our technology and our business alignment. At the same time, how can we have a short-term plan that starts delivering on some of the real benefits that people can get out there?

... These things have got to pay for themselves. An analyst recently looked me in the face and said, "People want to get off the mainframe. They understand now that the costs associated with it are just not supportable and are not necessary."

One of the sessions from our virtual conference features Geoffrey Moore, where he talks about this whole difference between core applications and context -- context being applications that are there for productivity reasons, not for innovation or differentiation.

Pickett: It's not really just about the overall cost, but it's also about agility, and being able to leverage the existing skills as well.

One of the case studies that I like is from the National Agricultural Cooperative Federation (NACF). It's a mouthful, but take a look at the number of banks that the NACF has. It has 5,500 branches and regional offices, so essentially it's one of the largest banks in Korea.

One of the items that they were struggling with was how to overcome some of the technology and performance limitations of the platform that they had. Certainly, in the banking environment, high availability and making sure that the applications and the services are running were absolutely key.

At the same time, they also knew that the path to the future was going to be through the IT systems that they had and they were managing. What they ended up doing was modernizing their overall environment, essentially moving their core banking structure from their current mainframe environment to a system running HP-UX. It included the customer and account information. They were able to integrate that with the sales and support piece, so they had more of a 360 degree view of the customer.

We talk about reducing costs. In this particular example, they were able to save $40 million on an annual basis. That's nice, and certainly saving that much money is significant, but, at the same time, they were able to improve their system response time two- to three-fold. So, it was a better response for the users.

But, from a business perspective, they were able to reduce their time to market. For developing a new product or service, that they were able to decrease that time from one month to five days.

Makes you more agile

If you are a bank and now you can produce a service much faster than your competition, that certainly makes it a lot easier and makes you a lot more agile. So, the agility is not just for the data center, it's for the business as well.

To take this story just a little bit further, they saw that in addition to the savings I just mentioned, they were able to triple the capacity of the systems in their environment. So, it's not only running faster and being able to have more capacity so you are set for the future, but you are also able to roll out business services a whole lot quicker than you were previously.

... Another example of what we were just talking about is that, if we shift to Europe, Middle East, and Africa region, there is very large insurance company in Spain. It ended up modernizing 14,000 MIPS. Even though the applications had been developed over a number of years and decades, they were able to make the transition in a relatively short length of time. In a three- to six-month time frame they were able to move that forward.

With that, they saw a 2x increase in their batch performance. It's recognized as one of the largest batch re-hosts that are out there. It's just not an HP thing. They worked with Oracle on that as well to be able to drive Oracle 11g within the environment.

Wilson: ... In the virtual conferences, there are also two particular customer case studies worth mentioning. We're seeing a tremendous amount of interest from some of the largest banks in the United States, insurance companies, and benefits management organizations, in particular.

In terms of customer situations, we've always had a very active business working with organizations in manufacturing, retail, and communications. One thing that I've perceived in the last year specifically -- it will come as no surprise to you -- is that financial institutions, and some of the largest ones in the world, are now approaching HP with questions about the commitment they have to their mainframe environments.

We're seeing a tremendous amount of interest from some of the largest banks in the United States, insurance companies, and benefits management organizations, in particular.

Second, maybe benefiting from some of the stimulus funds, a large number of government departments are approaching us as well. We've been very excited by customer interest in financial services and public sector.

The first case study is a project we recently completed at a wood and paper products company, a worldwide concern. In this particular instance we worked with their Americas division on a re-hosting project of applications that are written in the Software AG environment. I hope that many of the listeners will be familiar with the database ADABAS and the language, Natural. These applications were written some years ago, using those Software AG tools.

Demand was lowered

The user company had divested one of the major divisions within the company, and that meant that the demand for mainframe services was dramatically lowered. So, they chose to take the residual applications, the Software AG applications, representing about 300-350 MIPS, and migrate those in their current state, away from the mainframe, to an HP platform.

Many folks listening to this will understand that the Software AG environment can either be transformed and rewritten to run, say, in an Oracle or a Java environment, or we can maintain the customer's investment in the applications and simply migrate the ADABAS and Natural, almost as they are, from the mainframe to an alternative HP infrastructure. The latter is what we did.

By not needing to touch the mainframe code or the business rules, we were able to complete this project in a period of six months, from beginning to end. The user tells us that they are saving over $1 million today in avoiding the large costs associated with mainframe software, as well as maintenance and depreciation on the mainframe environment.

... The more monolithic approach to applications development and maintenance on the mainframe is a model that was probably appropriate in the days of the large conglomerates, where we saw a lot of companies trying to centralize all of that processing in large data centers. This consolidation made a lot of sense, when folks were looking for economies of scale in the mainframe world.

Today, we're seeing customers driving for a higher degree of agility. In fact, my second case study represents that concept in spades. This is a large multinational manufacturing concern. We will just refer to them as "a manufacturing company." They have a large number of businesses in their portfolio.

Our particular customer in this case study is the manufacturer of electronic appliances. One of the driving factors for their mainframe migration was ... to divest themselves from the large mainframe corporate environment, where most of the processing had been done for the last 20 years.

They wanted control of their own destiny to a certain extent, and they also wanted to prepare themselves for potential investment, divestment, and acquisition, just to make sure that they were masters of their own future.

Pickett: ... Just within the past few months, there was a survey by AFCOM, a group that represents data-center workers. It indicated that, over the next two years, 46 percent of the mainframe users said that they're considering replacing one or more of their mainframes.

Now, let that sink in -- 46 percent say they are going to be replacing high-end systems over the next two years. That's an absurdly high number. So, it certainly points to a trend that we are seeing in that particular environment -- not a blip at all.
Listen to the podcast. Find it on iTunes/iPod and Podcast.com. Read a full transcript or download a copy. Learn more. Sponsor: Hewlett-Packard.


Gain more insights into "Application Transformation: Getting to the Bottom Line" via a series of regional HP virtual conferences:

Access the regional Asia Pacific conference, the EMEA conference, or the Americas event.

Tuesday, January 12, 2010

Is Google the best candidate to create a good, customer-focused cloud banking service portfolio?

Slowly -- and sometimes not so slowly -- the bricks have been giving way to the clicks for the past 15 years. Plenty of formerly unassailable business models have suffered as a result. The tears flowing for these companies, however, have been few outside their own high, stony walls.

Users, customers, innovators, seekers -- the majority bottom sections of the social and economic pyramids -- these are the big winners in the many wonderful effects of the Web and Internet. And I for one have the freedom, productivity, choice and empowerment to prove it.

Except in one glaring area: banking. We are by no means done on the disruption front.

I have had it with the old financial processes, lack of capability, murky institutions, rips-offs, peonage fees/rates -- and especially attitudes. As far as I'm concerned -- as a consumer, family, and business -- I'm ready to fire them all and move to the inevitable cloud- and open source-based alternatives.

I have had it with credit cards, banks, mutual fund companies, PayPal, debit cards, MasterCard and Visa. As far as I'm concerned they are all fired. They do a lousy job, have suspect security, charge too much, stiff you with hidden fees and raise their rates whenever they want. Why pay 15 percent interest on a credit card when money can be borrowed for less than 2 percent? For their service? For their security? Because they can do a basic two-phase commit?

Merchants hate it, users hate it. Why are we waiting on this? Let the banking disruption rumpus begin!

You want financial industry reform? Screw the Congress, SEC and Fed. Barney Frank and Chris Dodd don't seem to have the stomach and/or power to make much difference. Same with Obama. What we need is real competition -- Internet style. The financial industry needs to follow the mainstream media (and others like car makers and hopefully cell phone networks) on a strict diet of lower costs, less egregious profits, less pitiful service -- and to be swiftly outmatched on their piss-poor online capabilities.

Like a lot of big, old industries, the banking function is essentially a function nowadays of software, standard protocols, high-performance (yet standard) IT systems ... and soon impeccable cloud computing credentials. But they key is the good software, of making things work for the users and community, not just the providers.

A few good transactions

If I can order movies, rent a car, and run a small business online, I should be able to do a few basic financial transactions online. I'd like to do more micro-payments and automated financial and business processes. Credit cards are not the best way to do this. Yet I seem to be stuck with a loan shark when I simply need to be able to order and fulfill a modest online transaction.

So let's have those that are good at what really counts -- software and cloud computing experts -- offering the banking services that we as consumers and businesses really want.

I'm tempted to write a similar screed about health care and mobile telephony, but that will have to wait. But we need to nail banking, finance and insurance first. It impacts all the rest.

The last two years are and should be the last straw. Wake up. In these failed finance industries -- the corporate leaders of which we as U.S. taxpayers apparently own in no small degree -- "Too big to fail" needs to be replaced with too good to resist. The companies that should be subsidized are the ones that create productivity, lower costs, improve service and propel -- rather than hamstring -- the economy.

Why as part of the stimulus are the governments not creating the legislation to allow a new breed of bank to emerge? Why are the laws not being amended to allow for more -- not less! -- competition in the financial realm? What choice do we really have? MasterCard and Visa are not a choice.

In other words, we need a viable new cloud banking option era. Marc Andreessen told Charlie Rose when he set up his latest venture fund last year that new online banking was ripe for investment. He's right. Let's get on with it. I'll be your first customer.

Let the big guy do it


Meanwhile, how about Google? Like a dog on a meat truck, they have their teeth into everything else around them. Why not online banking too? You can't blame for being too big to succeed, can you?

If any of us can explore, learn, compare, shop, order, track, and share your experiences via Google -- the actual monetary transactions scattered inside these processes should be a natural included component too. Right?

Is Google the best candidate to create a good, customer-focused cloud banking service portfolio? I think they would provide just the catalyst for change we so desperately need. We can then expect Microsoft to enter the field three years later, perhaps for an added element of choice and change.

MicroCard and Googlesta! Hey, it's a start, and almost certainly an improvement.

Monday, January 11, 2010

The march of Progress Software: Savvion provides latest entry in BPM consolidation parade

This guest post comes courtesy of Tony Baer’s OnStrategies blog. Tony is a senior analyst at Ovum.

By Tony Baer

Is it more than coincidence that IT acquisitions tend to come in waves? Just weeks after IBM's announcement to snap up Lombardi, Progress Software today responds with an agreement to put Savvion out of its misery? In such a small space that is undergoing active consolidation, it is hard not to know who’s in play.

Nonetheless, Progress’s acquisition confirms that Business Process Management (BPM)’s pure play days are numbered, if you expect executable BPM.

The traditional appeal of BPM was that it was a business stakeholder-friendly approach to developing solutions that didn’t rely on IT programmatic logic. The mythology around BPM pure-plays was that these were business user-, not IT-, driven software buys. [Disclosure: Progress Software is a sponsor of BriefingsDirect podcasts.]

In actuality, they simply used a different language or notation: process models with organizational and workflow-oriented semantics as opposed to programmatic execution language. That stood up only as long as you used BPM to model your processes, not automate them.

Consequently, it is not simply the usual issues of vendor size and viability that are driving IT infrastructure and stack vendors to buy up BPM pure plays. It is that, but more importantly, if you want your BPM tool to become more than documentware or shelfware, you need a solution with a real runtime.

And that means you need IT front and center, and the stack people right behind it. Even with emergence of BPMN 2.0, which adds support for executables, the cold hard facts are that anytime, anything executes in software, IT must be front and center. So much for bypassing IT.

Progress’s $49 million deal, which closes right away, is a great exit strategy for Savvion. The company, although profitable, has grown very slowly over its 15 years. Even assuming the offer was at a 1.5x multiple, Savvion’s extremely low seven-figure business is not exactly something that a large global enterprise could gain confidence in.

Savvion was in a challenging segment: A tiny player contending for enterprise, not departmental, BPM engagements. If you are a large enterprise, would you stake your enterprise BPM strategy on a slow-growing players whose revenues are barely north of $10 million? It wasn’t a question of whether, but when Savvion would be acquired.

[Editor's note: Savvion is bringing a new geographical footprint to Progress. Savvion is well positioned in India, where Progress is eager to tread. And Progress is prominent in Europe, where the Savvion-broadened portfolio will sell better than Savvion could alone. ... Dana Gardner.]

Questions remain

Of course that leads us to the question as to why Progress couldn’t get its hands on Savvion in time to profit from Savvion’s year-end deals. It certainly would have been more accretive to Progress’ bottom line had they completed this deal three months ago (long enough not to disrupt the end of year sales pipeline).

Nonetheless, Savvion adds a key missing piece for Progress’s Apama events processing strategy (you can read Progress/Apama CTO John Bates’s rationale here). There is a symbiotic relationship between event processing and business process execution; you can have events trigger business processes or vice versa.

There is some alignment with the vertical industry templates that both have been developing, especially for financial services and telcos, which are the core bastions (along with logistics) for EP. And with the Sonic service bus, Progress has a pipeline for ferrying events.

[Editor's note: The combination of Savvion BPM and Progress CEP help bring the vision of operational responsiveness, Progress's value theme of late, out from the developer and IT engineer purview (where it will be even stronger) and gets it far closer to the actual business outcomes movers and shakers.

The Savvion buy also nudges Progress closer to an integrated business intelligence (BI) capability. It will be curious to see if Progress builds, buys or partners it's way of adding more BI capabilities into it's fast-expanding value mix. ... Dana Gardner.]

In the long run, there could also be a legacy renewal play by using the Savvion technology to expose functionality for Progress OpenEdge or DataDirect customers, but wisely, that is now a back burner item for Progress which is not the size of IBM or Oracle, and therefore needs to focus its resources.

Acquiring Savvion ups the stakes with Tibco, which also has a similar pairing of technologies in its portfolio.


Although Progress does not call itself a stack player, it is evolving de facto stacks in capital markets, telcos, and logistics.

Event processing, a.k.a., Complex Event Processing (CEP, a forbidding label) or Business Events Processing (a friendlier label that actually doesn't mean much) is still an early adopter market. In essence, this market fulfills a niche where events are not human detectable and require some form of logic to identify and then act upon.

The market itself is not new; capital markets have developed homegrown event processing algorithms for years. What’s new (as in, what’s new in the last decade) is that this market has started to become productized. More recently, SQL-based approaches have emerged to spread high-end event processing to a larger audience.

Acquiring Savvion ups the stakes with TIBCO Software, which also has a similar pairing of technologies in its portfolio. [Disclosure: TIBCO is a sponsor of BriefingsDirect podcasts.]

Given ongoing consolidation, that leaves Active Endpoints, Pegasystems, Appian, plus several open source niche pure plays still standing. [Disclsoure: Active Endpoints is a sponsor of BriefingsDirect podcasts.]

Like Savvion, Pega is also an enterprise company, but it is a public company with roughly 10x revenues which as still managed to grow in the 25 percent range in spite of the recession. While in one way, it might make a good fit with SAP (both have their own, entrenched, proprietary languages), Pega is stubbornly independent and SAP acquisition-averse.

Pega might be a fit with one of the emerging platform stack players like EMC or Cisco. On second thought, the latter would be a much more logical target for web-based Appian or fast-growing Active Endpoints, still venture-funded, but also a promising growth player that at some point will get swept up.

[Editor's note: Tony's right. Once these IT acquisition waves begin, they tend to wash over the whole industry as most buyers and sellers match up. As with EAI middleware, BI, and data cleansing technologies before, BPM is the current belle of the ball. ... Dana Gardner.]

This guest post comes courtesy of Tony Baer’s OnStrategies blog. Tony is a senior analyst at Ovum.

Tuesday, January 5, 2010

Architectural shift joins app logic with massive data sets to take advanced BI analytics to real-time performance heights

Listen to the podcast. Find it on iTunes/iPod and Podcast.com. Read a full transcript or download a copy. Learn more. Sponsor: Aster Data Systems.

New architectures for data and logic processing are ushering in a game-changing era of advanced analytics.

These new approaches support massive data sets to produce powerful insights and analysis -- yet with unprecedented price-performance. As we enter 2010, enterprises are including more forms of diverse data into their business intelligence (BI) activities. They're also diversifying the types of analysis that they expect from these investments.

At the same time, more kinds and sizes of companies and government agencies are seeking to deliver ever more data-driven analysis for their employees, partners, users, and citizens. It boils down to giving more communities of participants what they need to excel at whatever they're doing. By putting analytics into the hands of more decision makers, huge productivity wins across entire economies become far more likely.

But such improvements won’t happen if the data can't effectively reach the application's logic, if the systems can't handle the massive processing scale involved, or the total costs and complexity are too high.

In this sponsored podcast discussion we examine how convergence of data and logic, of parallelism and MapReduce -- and of a hunger for precise analysis with a flood of raw new data -- are all setting the stage for powerful advanced analytics outcomes.

To help learn how to attain advanced analytics and to uncover the benefits from these new architectural activities for ubiquitous BI, we're joined by Jim Kobielus, senior analyst at Forrester Research, and Sharmila Mulligan, executive vice president of marketing at Aster Data Systems. The discussion is moderated by BriefingsDirect's Dana Gardner, principal analyst at Interarbor Solutions.

Here are some excerpts:
Kobielus: Advanced analytics is focused on how to answer questions about the future. It's what's likely to happen -- forecast, trend, what-if analysis -- as well as what I like to call the deep present, really current streams for complex event processing.

What's streaming in now? And how can you analyze the great gushing streams of information that are emanating from all your applications, your workflows, and from social networks?

Advanced analytics is all about answering future-oriented, proactive, or predictive questions, as well as current streaming, real-time questions about what's going on now. Advanced analytics leverages the same core features that you find in basic analytics -- all the reports, visualizations, and dashboarding -- but then takes it several steps further.

... What Forrester is seeing is that, although the average data warehouse today is in the 1-10 terabyte range for most companies, we foresee the average warehouse size going, in the middle of the coming decade, into the hundreds of terabytes.

In 10 years or so, we think it's possible, and increasingly likely, that petabyte-scale data warehouses or content warehouses will become common. It's all about unstructured information, deep history, and historical information. A lot of trends are pushing enterprises in the direction of big data.

... We need to rethink the platforms with which we're doing analytical processing. Data mining is traditionally thought of as being the core of advanced analytics. Generally, you pull data from various sources into an analytical data mart.

That analytical data mart is usually on a database that's specific to a given predictive modeling project, let's say a customer analytics project. It may be a very fast server with a lot of compute power for a single server, but quite often what we call the analytical data mart is not the highest performance database you have in your company. Usually, that high performance database is your data warehouse.

As you build larger and more complex predictive models you quickly run into resource constraints on your existing data-mining platform. So you have to look for where you can find the CPU power, the data storage, and the I/O bandwidth to scale up your predictive modeling efforts.

... But, [there is] another challenge, which is advanced analytics producing predictive models. Those predictive models increasingly are deployed in-line to transactional applications to provide some basic logic and rules that will drive such important functions as "next best offer" being made to customers based on a broad variety of historical and current information.

How do you inject predictive logic into your transactional applications in a fairly seamless way? You have to think through that, because, right now, quite often analytical data models, predictive models, in many ways are not built for optimal embedding within your transactional applications. You have to think through how to converge all these analytical models with the transactional logic that drives your business.

New data platform

Mulligan: What we see with customers is that the advanced analytics needs and the new generation of analytics that they are trying to do is driving the need for a new data platform.

What you've got is a situation where enterprises want to be able to do more scalable reporting on massive data sets with very, very fast response times. On the reporting side, in terms of the end result to the customer, it is similar to the type of report they are trying to achieve, but the difference is that the quantity of data that they're trying to get at, and the amount of data that these reports are filling up is far greater than what they had before.

That's what's driving a need for a new platform underneath some of the preexisting BI tools that are, in themselves, good at reporting, but what the BI tools need is a data platform beneath them that allows them to do more scalable reporting than you could do before.

... Previously, the choice of a data management platform was based primarily on price-performance, being able to effectively store lots of data, and get very good performance out of those systems. What we're seeing right now is that, although price performance continues to be a critical factor, it's not necessarily the only factor or the primary thing driving their need for a new platform.

What's driving the need now, and one of the most important criteria in the selection process, is the ability of this new platform to be able to support very advanced analytics.

Customers are very precise in terms of the type of analytics that they want to do. So, it's not that a vendor needs to tell them what they are missing. They are very clear on the type of data analysis they want to do, the granularity of data analysis, the volume of data that they want to be able to analyze, and the speed that they expect when they analyze that data.

There is a big shift in the market, where customers have realized that their preexisting platforms are not necessarily suitable for the new generation of analytics that they're trying to do.



They are very clear on what their requirements are, and those requirements are coming from the top. Those new requirements, as it relates to data analysis and advanced analytics, are driving the selection process for a new data management platform.

There is a big shift in the market, where customers have realized that their preexisting platforms are not necessarily suitable for the new generation of analytics that they're trying to do.

We see the push toward analysis that's really more near real-time than what they were able to do before. This is not a trivial thing to do when, it comes to very large data sets, because what you are asking for is the ability to get very, very quick response times and incredibly high performance on terabytes and terabytes of data to be able to get these kind of results in real-time.

Social network analysis

Kobielus: Let's look at what's going to be a true game changer, not just for business, but for the global society. It's a thing called social network analysis.

It's predictive models, fundamentally, but it's predictive models that are applied to analyzing the behaviors of networks of people on the web, on the Internet, Facebook, and Twitter, in your company, and in various social network groupings, to determine classification and clustering of people around common affinities, buying patterns, interests, and so forth.

As social networks weave their way into not just our consumer lives, but our work lives, our life lives, social network analysis -- leveraging all the core advanced analytics of data mining and text analytics -- will take the place of the focus group.

You're going to listen to all their tweets and their Facebook updates and you're going to look at their interactions online through your portal and your call center. Then, you're going to take all that huge stream of event information -- we're talking about complex event processing (CEP) -- you're going to bring it into your data warehousing grid or cloud.

You're also going to bring historical information on those customers and their needs. You're going to apply various social network behavioral analytics models to it to cluster people into the categories that make us all kind of squirm when we hear them, things like yuppie and Generation X and so forth.

They can get a sense of how a product or service is being perceived in real-time, so that the the provider of that product or service can then turn around and tweak that marketing campaign ...



Social network analysis becomes more powerful as you bring more history into it -- last year, two years, five years, 10 years worth of interactions -- to get a sense for how people will likely respond likely to new offers, bundles, packages, campaigns, and programs that are thrown at them through social networks.

If you can push not just the analytic models, but to some degree bring transactional applications, such as workflow, into this environment to be triggered by all of the data being developed or being sifted by these models, that is very powerful.

Mulligan: One of the biggest issues that the preexisting data pipeline faces is that the data lives in a repository that's removed from where the analytics take place. Today, with the existing solutions, you need to move terabytes and terabytes of data through the data pipeline to the analytics application, before you can do your analysis.

There's a fundamental issue here. You can't move boulders and boulders of data to an application. It's too slow, it's too cumbersome, and you're not factoring in all your fresh data in your analysis, because of the latency involved.

One of the biggest shifts is that we need to bring the analytics logic close to the data itself. Having it live in a completely different tier, separate from where the data lives, is problematic. This is not a price-performance issue in itself. It is a massive architectural shift that requires bringing analytics logic to the data itself, so that data is collocated with the analytics itself.

MapReduce plays a critical role in this. It is a very powerful technology for advanced analytics and it brings capabilities like parallelization to an application, which then allows for very high-performance scalability.

What we see in the market these days are terms like "in-database analytics," "applications inside data," and all this is really talking about the same thing. It's the notion of bringing analytics logic to the data itself.

... In the marriage of SQL with MapReduce, the real intent is to bring the power of MapReduce to the enterprise, so that SQL programmers can now use that technology. MapReduce alone does require some sophistication in terms of programming skills to be able to utilize it. You may typically find that skill set in Web 2.0 companies, but often you don’t find developers who can work with that in the enterprise.

What you do find in enterprise organizations is that there are people who are very proficient at SQL. By bringing SQL together with MapReduce what enterprise organizations have is the familiarity of SQL and the ease of using SQL, but with the power of MapReduce analytics underneath that. So, it’s really letting SQL programmers leverage skills they already have, but to be able to use MapReduce for analytics.

... One of the biggest requirements in order to be able to do very advanced analytics on terabyte- and petabyte-level data sets, is to bring the application logic to the data itself. Earlier, I described why you need to do this. You want to eliminate as much data movement as possible, and you want to be able to do this analysis in as near real-time as possible.

What we did in Aster Data 4.0 is just that. We're allowing companies to push their analytics applications inside of Aster’s MPP database, where now you can run your application logic next to the data itself, so they are both collocated in the same system. By doing so, you've eliminated all the data movement. What that gives you is very, very quick and efficient access to data, which is what's required in some of these advanced analytics application examples we talked about.

Pushing the code

What kind of applications can you push down into the system? It can be any app written in Java, C, C++, Perl, Python, .NET. It could be an existing custom application that an organization has written and that they need to be able to scale to work on much larger data sets. That code can be pushed down into the apps database.

It could be a new application that a customer is looking to write to do a level of analysis that they could not do before, like real-time fraud analytics, or very deep customer behavior analysis. If you're trying to deliver these new generations of advanced analytics apps, you would write that application in the programming language of your choice.

Kobielus: In this coming decade, we're going to see predictive logic deployed into all application environments, be they databases, clouds, distributed file systems, CEP environments, business process management (BPM) systems, and the like. Open frameworks will be used and developed under more of a service-oriented architecture (SOA) umbrella, to enable predictive logic that’s built in any tool to be deployed eventually into any production, transaction, or analytic environment.
Listen to the podcast. Find it on iTunes/iPod and Podcast.com. Read a full transcript or download a copy. Learn more. Sponsor: Aster Data Systems.

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