GigaomThe 5 stories that defined the big data market in 2014
There is no other way to put it: 2014 was a huge year for the big data market. It seems years of talk about what’s possible are finally giving way to some… Read more »
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There is no other way to put it: 2014 was a huge year for the big data market. It seems years of talk about what’s possible are finally giving way to some… Read more »
LinkedIn shed more light Tuesday on a big-data framework dubbed Gobblin that helps the social network take in tons of data from a variety of sources so that it can be… Read more »
While many tech enthusiasts may still be reeling from last week’s wave of Amazon-related cloud announcements, this week showed that Amazon isn’t the only company making big cloud news. Read more »
Team Hortonworks now includes HP while rival Cloudera can boast of funding from Intel and In-Q-tel. Read more »
The trick to leveraging managed big data services is determining which projects are good candidates for outsourcing and then finding a service provider that can deliver immediate value while also reducing… Read more »
The new system, called TSAR, acts as a real-time data orchestrator and makes it easier for product teams to receive insights into Twitter’s data much faster than before. Read more »
Self-service will be the most powerful market force in data discovery, with mobile support almost as critical. Currently Datameer and Tableau are the best-positioned data-discovery suppliers. Splunk, MicroStrategy, and SiSense are also strong,… Read more »
The Atlantic’s sister publication, Quartz (QZ) yesterday published a provocative piece under the headline — 2013 was a lost year for tech. It was a good way to boost attention, but… Read more »
Hortonworks is working to integrate the Storm stream-processing engine with its Hadoop distro, and hopes to have it ready for enterprise apps within a year’s time. It’s the latest non-batch functionality… Read more »
Twitter has open sourced a “streaming MapReduce” system called Summingbird that makes Hadoop and Storm play nicer together so applications that require both batch and stream processing can do their jobs… Read more »