Using Apache Hadoop and Impala together with MySQL for data analysis
Apache Hadoop is commonly used for data analysis. It is fast for data loads and scalable. In a previous post I showed how to integrate MySQL with Hadoop. In this post I will show how to export a table from ...
Apache Hive Updated with SQL-on-Hadoop Features
The Apache Hive community has voted on and released version 0.13. This is a significant release that represents a major effort from over 70 members who worked diligently to close out over 1080Â JIRA tickets.
Hive 0.13 also delivers the third and ...
How to Run a Simple Apache Spark App in CDH 5
Getting started with Spark (now shipping inside CDH 5) is easy using this simple example.
Apache Spark is a general-purpose, cluster computing framework that, like MapReduce in Apache Hadoop, offers powerful abstractions for processing large datasets. For various reasons pertaining to ...
Hadoop or Warehousing, or Both?
One of the thornier questions facing enterprise executives in these days of broad infrastructural change is how to deal with Big Data. On the surface, it may seem like a no-brainer: No matter how big the data load becomes, there ...
10 Big Data Predictions for 2014
Big data was seen as one of the biggest buzzwords of 2013 and companies are spending a lot on Big data analytics. The storage and analysis of large and/or complex data sets using a series of techniques including, but not ...
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 ...
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 ...
MariaDB adds NoSQL features to relational database roots
SkySQL has released new versions of MariaDB Enterprise and MariaDB Enterprise Cluster, promising that these editions will combine the consistency of traditional SQL database technology with the scalability of NoSQL.
It’s now almost a year since SkySQL merged with Monty Program, ...
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 ...