Impala and SQL on Hadoop
The origins of Impala can be found in F1 – The Fault-Tolerant Distributed RDBMS Supporting Google’s Ad Business.
One of many differences between MapReduce and Impala is in Impala the intermediate data moves from process to process directly instead of storing it ...
Selecting the right SQL-on-Hadoop engine to access big data
With SQL-on-Hadoop technologies, it's possible to access big data stored in Hadoop by using the familiar SQL language. Users can plug in almost any reporting or analytical tool to analyze and study the data. Before SQL-on-Hadoop, accessing big data was ...
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 ...
Using Oozie 4.4.0 with Hadoop 2.2
The current version of Oozie (4.0.0) doesn’t build correctly when you try and target Hadoop 2.2. The Oozie team have a fix going into release 4.0.1 (see OOZIE-1551), but until then you can hack the Maven files to get it ...
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 ...
Avoiding Split Brainedness in HA Hadoop Clusters
The US Patent Office recently granted Zettaset a patent for the underlying technology in its Hadoop high availability that prevents a "split-brain" situation where multiple master nodes think they're in control of the Hadoop cluster. It's a feather in the ...
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 ...