Jeffrey Kelly
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The Data Economy: White House report shines light on potential Big Data discrimination
A White House report released last week extolls the benefits of Big Data analytics, including its potential to “make possible unexpected discoveries, innovations, and advancements in our quality of life.” But the report’s authors, who include former White House Chief of Staff under President Bill Clinton and current Counselor to the President John Podesta, also rightly ...
The Data Economy: Big Data vendor alliances solidifying with Cloudera-MongoDB partnership
The development of distinct, competing camps of vendors is one sure sign that an emerging market is maturing. This is precisely what we’re seeing now in the Big Data market. This morning Cloudera and MongoDB announced they are forming a “strategic partnership” that will see the vendors even more tightly integrate their two technologies and, ...
The Data Economy: Meet the hybrid data scientist-application developer
All the investment and innovation that’s occurred in the Big Data infrastructure space over the last decade will have gone for naught if data scientists and application developers can’t production-ize analytic insights. That’s why YARN, a sub-project of Apache Hadoop released last fall, is such a big deal. YARN enables developers to build applications on ...
The Data Economy: Data standards needed to enable Industrial Internet
At its core, the idea behind the Industrial Internet (II) is to bring all the world’s industrial equipment online to improve the efficiency and effectiveness of industrial processes through large-scale data analytics and automation. For example, wind turbines outfitted with data-generating sensors and analytics software can intelligently self-adjust operations based on wind speed and energy demand. ...
The Data Economy : Microsoft’s cautious Big Data vision
The Data Economy is an analysis column by Wikibon Senior Analyst Jeff Kelly covering the business of Big Data. Microsoft CEO Satya Nadella kicked off this morning’s Microsoft Big Data event in San Francisco with talk of “ambient intelligence,” the need for a data culture in the enterprise, and something called the data dividend. “The ...
The Data Economy: Understanding the Hadoop-Data warehouse balance of power
Will Hadoop replace your enterprise data warehouse (EDW)? This question, or some variation there of, has been making the rounds lately. Just this week I’ve read two good posts on the topic (this one from Matt Asay and this one from Timo Elliot), and my Twitter feed is full of related commentary. The answer to this question ...
The Data Economy: Pivotal, Hortonworks milestones demonstrate new Hadoop realities
The Data Economy is an analysis column by Wikibon Senior Analyst Jeff Kelly covering the business of Big Data. The Intel-Cloudera deal sucked most of the oxygen out of the room this week, but rivals Pivotal and Hortonworks also made important announcements in recent days. Both announcements illustrate the competitive nature of the current Big Data market ...
The Data Economy: Intel bets big (really big) on Big Data
The Data Economy is an analysis column by Wikibon Senior Analyst Jeff Kelly covering the business of Big Data. The terms and size of Intel’s recent investment in Cloudera have been revealed and, as you probably know by now, both are considerable. Intel has invested $740 million in Cloudera for an 18 percent ownership stake ...
The Data Economy: Intel-Cloudera deal levels the channel playing field
The Data Economy is an occasional analysis column by Wikibon Senior Analyst Jeff Kelly covering the business of Big Data. Intel’s investment in Cloudera gives the Hadoop start-up yet more cash to play with, but the more important aspect of the deal is the channel implications. Prior to the Intel announcement, Cloudera competitor Hortonworks was ...
The Data Economy: What I learned at Cloudera Analyst Day
The Data Economy is an occasional analysis column by Wikibon Senior Analyst Jeff Kelly covering the business of Big Data. Any start-up trying to commercialize Hadoop as their main line of business has two important challenges to tackle: . Deciding on and executing a business model (open core, services only, largely proprietary, etc.) Building a ...