Has HDFS joined MapReduce in the emerging “legacy Hadoop project” category, continuing the swap-out of components that formerly answered the question “what is Hadoop?” Stores for data were certainly a focus at Strata/Hadoop World in NY, O’Reilly’s well-run, well-attended, and always impactful fall event. The limitations of HDFS, including its append-only nature, have become inconvenient enough toContinue reading “Strata Standards Stories: Different Stores For Different Chores”
Category Archives: Data Management
Perspectives on Hadoop Part Two: Pausing Plans
By Merv Adrian and Nick Heudecker In the first post in this series , I looked at the size of revenue streams for RDBMS software and maintenance/support and noted that they amount to $33B, pointing out that pure play Hadoop vendors had a high hill to climb. (I didn’t say so specifically, but in 2014, Gartner estimates thatContinue reading “Perspectives on Hadoop Part Two: Pausing Plans”
Perspectives on Hadoop: Procurement, Plans, and Positioning
I have the privilege of working for the world’s leading information technology research and advisory company, covering information management with a strong focus for the past few years on an emerging software stack called Hadoop. In the early part of 2015, that particular technology is moving from early adopter status to early majority in its marketplaceContinue reading “Perspectives on Hadoop: Procurement, Plans, and Positioning”
Hortonworks IPO – Why Now?
Last week, many observers were surprised when Hortonworks’ S1 for an initial public offering (IPO) was filed. And there are good reasons to be surprised. Why now? CEO Rob Bearden told VentureWire not long ago that he expected to exit 2014 “at a strong $100 million run rate” in preparation for a 2015 IPO. What changed? PerhapsContinue reading “Hortonworks IPO – Why Now?”
Hadoop Investments Continue: Teradata, HP Jockey For Position
Interest from the leading players continues to drive investment in the Hadoop marketplace. This week Teradata made two acquisitions – Revelytix and Hadapt – that enrich its already sophisticated big data portfolio, while HP made a $50M investment in, and joined the board of, Hortonworks. These moves continue the ongoing effort by leading players. 4 ofContinue reading “Hadoop Investments Continue: Teradata, HP Jockey For Position”
Hadoop is in the Mind of the Beholder
This post was jointly authored by Merv Adrian (@merv) and Nick Heudecker (@nheudecker) and appears on both of our Gartner blogs. In the early days of Hadoop (versions up through 1.x), the project consisted of two primary components: HDFS and MapReduce. One thing to store the data in an append-only file model, distributed across anContinue reading “Hadoop is in the Mind of the Beholder”
Aspirational Marketing and Enterprise Data Hubs
In the Hadoop community there is a great deal of talk of late about its positioning as an Enterprise Data Hub. My description of this is “aspirational marketing;” it addresses the ambition its advocates have for how Hadoop will be used, when it realizes the vision of capabilities currently in early development. There’s nothing wrongContinue reading “Aspirational Marketing and Enterprise Data Hubs”
AAA is Not Enough Security in the Big Data Era
Talk to security folks, especially network ones, and AAA will likely come up. It stands for authentication, authorization and accounting (sometimes audit). There are even protocols such as Radius (Remote Authentication Dial In User Service, much evolved from its first uses) and Diameter, its significantly expanded (and punnily named) newer cousin, implemented in commercial andContinue reading “AAA is Not Enough Security in the Big Data Era”
Hadoop 2013 – Part Four: Players
The first three posts in this series talked about performance, projects and platforms as key themes in what is beginning to feel like a watershed year for Hadoop. All three are reflected in the surprising emergence of a number of new players on the scene, as well as some new offerings from additional ones, which I’ll cover in another post. Intel, WANdisco,Continue reading “Hadoop 2013 – Part Four: Players”
Hadoop 2013 – Part Three: Platforms
In the first two posts in this series, I talked about performance and projects as key themes in Hadoop’s watershed year. As it moves squarely into the mainstream, organizations making their first move to experiment will have to make a choice of platform. And – arguably for the first time in the early mainstreaming of an information technology wave – thatContinue reading “Hadoop 2013 – Part Three: Platforms”