Using Scala To Work With Hadoop
Cloudera has a great toolkit to work with Hadoop. Â Specifically it is focused on building distributed systems and services on top of the Hadoop Ecosystem.
http://cloudera.github.io/cdk/docs/0.2.0/cdk-data/guide.html
And the examples are in Scala!!!!
Here is how you you work with generic stuff on the ...
How To Choose The Best Tool For Your Big Data Project
Trying to choose the right tool for a big data project? This chart (and three simple rules) can help guide you through the options. This chart is based on one shown by Microsoft Research senior research program manager Wenming Ye ...
10 Big Data Analytics Use Cases for Healthcare IT
Big data means a lot of things to a lot of different people, but what is becoming increasingly clear as the largest market players strategies start to unfold, big data is about real-time analysis and data driven decision-making. Now Big ...
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 ...
Oracle Launches NoSQL Database 3.0
Oracle NoSQL Database 3.0 has been released by Oracle, adding improvements to enable the security, usability, and performance required for enterprise development and IT needs. Available in two versions, the Oracle NoSQL Database 3.0 Enterprise Edition and Oracle NoSQL Database 3.0 ...
Pivotal Launches Its Big Data Suite
When Pivotal was spun out of VMware and EMC, many people were excited about a well-funded entity, chock full of some of the coolest modern tech, and without the hang-ups of having to think about existing products or revenue streams. ...
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 ...
Apache Mahout is moving on from MapReduce
Apache Mahout, a machine learning library for Hadoop since 2009, is joining the exodus away from MapReduce. The project’s community has decided to rework Mahout to support the increasingly popular Apache Spark in-memory data-processing framework, as well as the H2O engine for ...
How to Contribute to HBase and Hadoop2
By Nick Dimiduk
In case you haven’t heard, Hadoop2 is on the way! There are loads more new features than I can begin to enumerate, including lots of interesting enhancements to HDFS for online applications like HBase. One of the most ...
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 ...