{"id":648073,"date":"2013-03-21T13:49:20","date_gmt":"2013-03-21T17:49:20","guid":{"rendered":"http:\/\/gigaom.com\/?p=622944"},"modified":"2013-03-21T13:49:20","modified_gmt":"2013-03-21T17:49:20","slug":"hadoop-applications-abound-but-hadoop-still-needs-improvement","status":"publish","type":"post","link":"https:\/\/mereja.media\/index\/648073","title":{"rendered":"Hadoop applications abound, but Hadoop still needs improvement"},"content":{"rendered":"

Since Hadoop emerged<\/a> in the early 2000s, a whole ecosystem has sprouted up. The buzz still has not abated, nor has the need for further development of Hadoop as a platform. Entrepreneurs who build applications around Hadoop talked about the use cases they see the most and the next essential steps for the ecosystem to grow at GigaOM\u2019s Structure:Data event<\/a> on Thursday.<\/p>\n

Jonathan Gray, founder and chief technology officer of Continuuity, said he\u2019s seen lots of Hadoop implementations for analytics applications for gaming and advertising purposes. \u201cThose guys have tons of data,\u201d he said. \u201c(They) run off the back of analytics.\u201d Popular use cases include attribution and retargeting of advertisements.<\/p>\n

While use cases have popped up across many industries, there isn\u2019t one Hadoop panacea. Different parts of the Hadoop ecosystem<\/a> \u2014 such as HBase, MapReduce and so on \u2014 might fit different sorts of applications, said Muddu Sudhakar, vice president and general manager of the Pivotal Initiative\u2019s Cetas<\/a> cloud and big data analytics platform.<\/p>\n

Sudhakar identified a few ways in which Hadoop needs to adapt further.<\/p>\n

For starters, he said, \u201cHadoop needs to be virtualized,\u201d to enable the sort of dynamic resource management popular in public clouds. For now, power consumption for Hadoop deployment across many servers can be very expensive. \u201cWe are living in the cloud world, so that whole thing needs to be solved,\u201d he said.<\/p>\n

Hadoop might be able to process large data sets, but it could take you a while. That\u2019s why Sudhakar called for \u201cHadoop high throughput, low latency.\u201d <\/p>\n

Look to Google to get a sense of where Hadoop capabilities need to go, said Omer Trajman of WibiData. \u201cIt\u2019s amazing to look (when) Google sends you messages from the future,\u201d he said. The ultimate feature is I\u2019m Feeling Lucky \u2014 just tell me what\u2019s next. That\u2019s what everyone else is going to need.\u201d<\/p>\n

Check out the rest of our Structure:Data 2013 live coverage here<\/a>, and a video embed of the session follows below:<\/p>\n