Pivotal juices Hadoop with in-memory database and SQL querying
Pivotal, an EMC/VMware spin-off that has big plans to deliver big data analytics through platform as a service, has whisked the drapes off Pivotal HD 2.0, its commercially supported enterprise-grade distribution of Hadoop.
But Pivotal's ambitions for HD don't simply involve ...
HBase BlockCache Showdown
The HBase BlockCache is an important structure for enabling low latency reads. As of HBase 0.96.0, there are no less than three different BlockCache implementations to choose from. But how to know when to use one over the other? There’s ...
What Can GPFS on Hadoop Do For You?
The Hadoop Distributed File System (HDFS) is considered a core component of Hadoop, but it’s not an essential one. Lately, IBM has been talking up the benefits of hooking Hadoop up to the General Parallel File System (GPFS). IBM has ...
Hadoop Alternative Hydra Re-Spawns as Open Source
It may not have the name recognition or momentum of Hadoop. But Hydra, the distributed task processing system first developed six years ago by the social bookmarking service maker AddThis, is now available under an open source Apache license, just ...
Hadoop and NoSQL Now Data Warehouse-Worthy-Gartner
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. ...
Apache Tez 0.3 Released
The Apache Tez community has voted to release 0.3 of the software.
Apacheâ„¢ Tez is a replacement of MapReduce that provides a powerful framework for executing a complex topology of tasks. Tez 0.3.0 is an important release towards making the software ...
Apache Spark-3 Real-World Use Cases
By Alex Woodie
The Hadoop processing engine Spark has risen to become one of the hottest big data technologies in a short amount of time. And while Spark has been a Top-Level Project at the Apache Software Foundation for barely a ...
Big Workflow-The Future of Big Data Computing
How can organizations embrace — instead of brace for — the rapidly intensifying collision of public and private clouds, HPC environments and Big Data? The current go-to solution for many organizations is to run these technology assets in siloed, specialized ...
Hadoop YARN adds more application threads for big data users
Even Hadoop's most enthusiastic proponents might admit that its marriage to MapReduce has limited what the open source technology can do. But with the advent of Hadoop 2 and its key component, the Hadoop YARN resource manager, the distributed processing ...
Why Apache Spark is a Crossover Hit for Data Scientists
Spark is a compelling multi-purpose platform for use cases that span investigative, as well as operational, analytics.
Data science is a broad church. I am a data scientist — or so I’ve been told — but what I do is actually ...