01. Wrap-Up Day 3 of Hadoop Summit 2015. (00:28)
02. Analysis and Highlights of Hadoop Summit. (02:06)
03. Is Spark Ready for Prime Time?. (04:52)
04. The Transformation of the Hadoop Ecosystem. (06:05)
05. Building on the Hadoop Platform and the Data Battleground. (08:27)
06. Governance and Security. (09:55)
#theCUBE #HadoopSummit #Hadoop #SiliconANGLE
--- ---
Spark is hot, but not ready for prime time
by Heather Johnson | Jul 22, 2015
theCUBE cohosts John Furrier, Jeff Frick, and George Gilbert discussed the convergence of Cloud and analytics as they concluded talks for the recently concluded Hadoop Summit 2015.
Furrier noted that Hadoop, an open-source data management tool, has proven its place as far as the Cloud is concerned, winning the hearts of Cloud service providers. “Hadoop is ready for prime time,” he said. “That said, there is a world bigger than Hadoop. Spark [an alternative to Hadoop MapReduce] had an undercurrent throughout the show. Also, a lot of people validated our thesis that the next level of analytics, real time, streaming, will all be powered by the cloud, certainly in the enterprise.”
The importance of the Open Data Platform
Gilbert discussed the challenge in balancing innovation with potential for complexity. He also gave his take on the Open Data Platform (ODP). ODP, a shared industry effort by organizations like General Electric, IBM and Hortonworks, focuses on promoting and advancing the state of Apache Hadoop, as well as Big Data technologies for the enterprise.
“Apache Software Foundation has done an amazing job of incubating and releasing individual projects,” he said. “When you get to a Hadoop product, it’s really an ecosystem. We needed something to unify those individual components, and ODP is a very important step in that.”
Spark got attention at Hadoop Summit, although theCUBE cohosts believe the framework has to gain some experience before it joins the “prime time” offerings. “Spark hasn’t gone through the hardening process that Hadoop has gone through for the enterprise,” said Frick. “But ISVs are starting to build tools on top of it.”
@theCUBE
#HadoopSummit
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Wrap Up Day 3 | Hadoop Summit 2015
01. Wrap-Up Day 3 of Hadoop Summit 2015. (00:28)
02. Analysis and Highlights of Hadoop Summit. (02:06)
03. Is Spark Ready for Prime Time?. (04:52)
04. The Transformation of the Hadoop Ecosystem. (06:05)
05. Building on the Hadoop Platform and the Data Battleground. (08:27)
06. Governance and Security. (09:55)
#theCUBE #HadoopSummit #Hadoop #SiliconANGLE
--- ---
Spark is hot, but not ready for prime time
by Heather Johnson | Jul 22, 2015
theCUBE cohosts John Furrier, Jeff Frick, and George Gilbert discussed the convergence of Cloud and analytics as they concluded talks for the recently concluded Hadoop Summit 2015.
Furrier noted that Hadoop, an open-source data management tool, has proven its place as far as the Cloud is concerned, winning the hearts of Cloud service providers. “Hadoop is ready for prime time,” he said. “That said, there is a world bigger than Hadoop. Spark [an alternative to Hadoop MapReduce] had an undercurrent throughout the show. Also, a lot of people validated our thesis that the next level of analytics, real time, streaming, will all be powered by the cloud, certainly in the enterprise.”
The importance of the Open Data Platform
Gilbert discussed the challenge in balancing innovation with potential for complexity. He also gave his take on the Open Data Platform (ODP). ODP, a shared industry effort by organizations like General Electric, IBM and Hortonworks, focuses on promoting and advancing the state of Apache Hadoop, as well as Big Data technologies for the enterprise.
“Apache Software Foundation has done an amazing job of incubating and releasing individual projects,” he said. “When you get to a Hadoop product, it’s really an ecosystem. We needed something to unify those individual components, and ODP is a very important step in that.”
Spark got attention at Hadoop Summit, although theCUBE cohosts believe the framework has to gain some experience before it joins the “prime time” offerings. “Spark hasn’t gone through the hardening process that Hadoop has gone through for the enterprise,” said Frick. “But ISVs are starting to build tools on top of it.”
@theCUBE
#HadoopSummit