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From the Principal Analyst with Ovum

Tony Baer

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Top Stories by Tony Baer

With Strata, IBM IOD, and Teradata Partners conferences all occurring this week, it’s not surprising that this is a big week for Hadoop-related announcements. The common thread of announcements is essentially, “We know that Hadoop is not known for performance, but we’re getting better at it, and we’re going to make it look more like SQL.” In essence, Hadoop and SQL worlds are converging, and you’re going to be able to perform interactive BI analytics on it. The opportunity and challenge of Big Data from new platforms such as Hadoop is that it opens a new range of analytics. On one hand, Big Data analytics have updated and revived programmatic access to data, which happened to be the norm prior to the advent of SQL. There are plenty of scenarios where taking programmatic approaches are far more efficient, such as dealing with time series data or graph analysis to ma... (more)

Oracle Fills Another Gap in Its Big Data Offering

When we last left Oracle’s big data plans, there was definitely a missing piece. Oracle’s Big Data Appliance as initially disclosed at last fall’s OpenWorld was a vague plan that appeared to be positioned primarily as an appliance that would accompany and feed data to Exadata. Oracle did specify some utilities, such as an enterprise version of the open source R statistical processing program that was designed for multithreaded execution, plus a distribution of a NoSQL database based on Oracle’s BerkeleyDB as an alternative to Apache Hive. But the emphasis appeared to be extractio... (more)

Big Moves in Big Data: EMC's Hadoop Strategy

To date, Big Storage has been locked out of Big Data. It’s been all about direct attached storage for several reasons. First, Advanced SQL players have typically optimized architectures from data structure (using columnar), unique compression algorithms, and liberal usage of caching to juice response over hundreds of terabytes. For the NoSQL side, it’s been about cheap, cheap, cheap along the Internet data center model: have lots of commodity stuff and scale it out. Hadoop was engineered exactly for such an architecture; rather than speed, it was optimized for sheer linear scale.... (more)

Making Hadoop Safe for 'Clusterophobics'

Hadoop remains a difficult platform for most enterprises to master. For now skills are still hard to come by – both for data architect or engineer, and especially for data scientists. It still takes too much skill, tape, and baling wire to get a Hadoop cluster together. Not every enterprise is Google or Facebook, with armies of software engineers that they can throw at a problem. With some exceptions, most enterprises don’t deal with data on the scale of Google or Facebook either – but the bar is rising. If 2011 was the year that the big IT data warehouse and analytic platform br... (more)

Progress Scoops Up Savvion in BPM Race

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... (more)