SQL is what’s next for Hadoop: Here’s who’s doing it
More and more companies and open source projects are trying to let users run SQL queries from inside Hadoop itself. Here’s a list of what’s available and, on a high level, how they work.
While we waste four cores, scientists use a million at a time
A group of Stanford researchers recently ran a complex fluid dynamics workload across more than a million cores on the Sequoia supercomputer. It’s an impressive feat and might foretell a future where parallel programming becomes commonplace even on our smartphones.
Facebook open sources Corona — a better way to do webscale Hadoop
Facebook has open sourced a new system called Corona for scheduling and managing Hadoop jobs. Corona attempts to do away with many of the problems that come along with massive-scale Hadoop operations, and soon looks to take Facebook’s Hadoop deployment beyond just MapReduce.
5 trends that are changing how we do big data
In just a few years, big data has turned from a buzzword and concept best left for large web companies into a force that drives much of our digital lives. Here are five technological trends that will change how data is processed and consumed going forward.
Because Hadoop isn’t perfect: 8 ways to replace HDFS
Hadoop is on its way to becomig the de facto platform for the next-generation of data-based applications, but it’s not without some flaws. Ironically, one of Hadoop’s biggest shortcomings right now is also one of its biggest strengths going forward — the Hadoop Distributed File System.
Why the days are numbered for Hadoop as we know it
For better or worse, Hadoop has become synonymous with big data. In just a few years it has gone from a fringe technology to the de facto standard. But is the enterprise buying into a technology whose best day has already passed?
All aboard the Hadoop money train
Market research firm IDC released the first legitimate market forecast for Hadoop on Monday, claiming the ecosystem around the de facto big data platform will sell almost $813 million worth of software by 2016. But Hadoop’s actual economic impact is likely much, much larger.
Oracle faces big data, cloud, hardware triple whammy
For years, Oracle has wowed Wall Street with fat software margins: Large companies depending on Oracle relational databases pay what it takes to keep them up and running. It’s unclear whether Oracle can carry that dominance over into the Big Data era, however.
Hadoop jumps through hoops, becomes mainstream
Matt Howard of Norwest Venture Partners predicts that 2012 and 2013 will be Hadoop’s breakout years. Howard gives us insight into the five factors that will accelerate Hadoop’s mainstream adoption over the next 18 months.