MongoDB 2.6 Released
In the five years since the initial release of MongoDB, and after hundreds of thousands of deployments, we have learned a lot. The time has come to take everything we have learned and create a basis for continued innovation over ...
How To Choose The Best Tool For Your Big Data Project
By Angus Kidman
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 ...
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 ...
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 ...
How-to Implement Role-based Security in Impala using Apache Sentry
Apache Sentry (incubating) is the Apache Hadoop ecosystem tool for role-based access control (RBAC). In this how-to, I will demonstrate how to implement Sentry for RBAC in Impala. I feel this introduction is best motivated by a use case.
Data warehouse ...
Apache Hadoop 2.3.0 was released
Hadoop-2.3.0 is the first release for the year 2014, and brings a number of enhancements to the core platform, in particular to HDFS. There are a lot of bug fixes and small changes in this one - you can read ...
6 things to make your Big Data project succeed
Some things that you can do to actually make the Big Data project you take on succeed. The first thing you need to do is stop trying to make 'Big Data' succeed and instead start focusing on how you educate ...
6 reasons your Big Data Hadoop project will fail in 2014
By Steve Jones
Ok so Hadoop is the bomb, Hadoop is the schizzle, Hadoop is here to solve world hunger and all problems. Now I've talked before about some of the challenges around Hadoop for enterprises but here are six reasons that ...
Introduction to Impala
Impala in terms of Hadoop has got the significance because of its,
Scalability
Flexibility
Efficiency
What’s Impala?
Impala is…
Interactive SQL–Impala is typically 5 to 65 times faster than Hive as it minimized the response time to just seconds, not minutes.
Nearly ANSI-92 standard and compatible with ...