IBM Hadoop
March 18, 2015
For anyone who sees setting up an instance of Hadoop as a huge challenge, Open Source Insider points to IBM’s efforts to help in, “Has IBM Made (Hard) Hadoop Easier?” Why do some folks consider Hadoop so difficult? Blogger Adrian Bridgwater elaborates:
“More specifically, it has been said that the Hadoop framework for distributed processing of large data sets across clusters of computers using simple programming models is tough to get to grips with because:
Hadoop is not a database
Hadoop is not an analytics environment
Hadoop is not a visualisation tool
Hadoop is not known for clusters that meet enterprise-grade security requirements
Foundation fixation
This is because Hadoop is a ‘foundational’ technology in many senses, so its route to ‘business usefulness’ is neither direct or clear cut in many cases.”
Hmm. So, perhaps one should understand what Hadoop is and what it does before trying to implement it. Still, the folks at IBM would prefer companies just pay them to handle it. The article cites a survey of “bit-data developers” (commissioned by IBM) that shows about a quarter of the respondents us IBM’s Hadoop. Bridgwater also mentions:
“IBM also recently conducted an independently audited benchmark, which was reviewed by third-party Infosizing, of three popular SQL-on-Hadoop implementations, and the results showed that IBM’s Big SQL was the only Hadoop solution tested that was able to run all 99 Hadoop-DS queries…. Smith says that this new report and benchmark are proof that customers can ask more complex questions of IBM when it comes to Hadoop implementation.”
I’m not sure that’s what those factors prove, but it is clear that many companies do turn to the tech giant for help with Hadoop. But is their assistance worth the cost? Unfortunately, this article includes no word on IBM’s Hadoop pricing.
Cynthia Murrell, March 18, 2015
Stephen E Arnold, Publisher of CyberOSINT at www.xenky.com
Comments
-
- Subscribe to Beyond Search
Feature archive
News archive
-
