I noted in a previous blog post that Hadoop needed a number of enhancements to make it more acceptable to enterprise users. One of them was simplicity. Indeed, even some of the purveyors of Hadoop distributions privately admit that Hadoop, … Continued
There are many opinions regarding how to handle information storage for big data analytics. By big data analytics, I’m referring to information associated with a data analytics operation that does the analysis in near real-time to present immediately actionable results. The most … Continued
“Most storage hardware is now a commodity,” Russ Fellows, senior partner at the Evaluator Group told eWEEK. “Can HP break itself out well enough with its software, pre-configurements and ease of use for line-of-business users to continue to make this … Continued
In this Technical Insight, John Webster explores data movement in context to data analytics. For introduction and document download: click here.
John Webster provides his opinion on why Big Data needs our attention in “Big Data Deserves IT Attention” For article click here: http://www.computerworld.com/s/article/357189/Big_Data_Deserves_IT_s_Attention?taxonomyId=11
“Network infrastructure for big data applicationsshould be bandwidth-capable and adaptable to handle the impact of ingesting large volumes of data and delivering it to big data analytics systems,” said John Webster, senior partner, Evaluator Group. “The high volume of data … Continued
“Enterprises are looking to leverage the power of Hadoop analytics to see if Hadoop-supported applications can drive critical business decisions. Therefore, IT management will need the confidence that their Hadoop-related infrastructure is prepared to stand up to the demands of … Continued
A new archive on ingest feature allows administrators to send data from camera, sensors and other video sources directly to tape to avoid slowing down high-performing disks. “It’s a good idea because a lot of data has already been processed,” … Continued
In my previous article I wrote about the five factors that limit Hadoop’s role in the enterprise datacenter. To recap, the limitations are, Increased storage sprawl Three times as much storage Costly data moves Single point of failure No support … Continued
Of the numerous ways that have emerged in the last few years to do “big data” analytics, none has received more media attention than Hadoop. Hadoop began conceptually with a paper that emanated from Google in 2004 describing a process … Continued
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