Magna Tempus Group

Big Data Stacks Provider

The web-site is going off-line starting May 22, 2015. We'd like to thank all our users, but as Apache Bigtop(tm) is gaining more and more momentum, we would continued adding value to the ecosystem by directly contributing to the Apache Bigtop project.

High Performance In-Memory Data Analytics

September 23, 2012

Sample image Magna Tempus Group TM is happy to announce the very first official release of a lightning-fast cluster computing component.

We have added the Spark-0.5.0 project’s artifact to the MTG stack. All kudos for this incredible technology are going where are due: namely, the good folks from Berkeley University AMPLab and the community that has contributed to the success of this project! This is great work and an awesome piece of software!

So, why are we so excited? Well, for once, Spark has beaten the traditional MapReduce concept hands-down. The Spark team claims that same loads can be analyzed up to 20 times faster with Spark than on a similarly shaped Hadoop cluster... Read the rest here

Please follow instructions to download and install Spark.

Big Data Stack Available For Download

May 25th, 2012

Sample image Magna Tempus Group TM proudly presents the big data analytics system that provides a complete Hadoop based stack comprised of the following components:

  • Hadoop 1.0.3
  • Hbase 0.92
  • Hive 0.8.1
  • Mahout 0.6.1
  • Oozie 3.1.3
  • Pig 0.9.2
  • Sqoop 1.4.1
  • Whirr 0.7.1
  • ZooKeeper 3.4.3

Using MTG stack you can quickly install and customize Hadoop based stack the way you want it to be.

Please follow instructions to configure repository, download and install the components.