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 ...
Apache Spark is now part of MapR’s Hadoop distribution
Hadoop vendor MapR is getting in early on the Apache Spark action, too, announcing on Thursday that it’s adding the Spark stack to its Hadoop distribution as part of a partnership with Spark startup Databricks (Ion Stoica, the co-founder and CEO of ...
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 ...
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 ...
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 ...
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 ...
A guide to NoSQL offerings
Amazon Web Services: DynamoDB is a NoSQL database service that makes it simple and cost-effective to store and retrieve any amount of data and serve any level of request traffic. Users simply tell the service how many requests need to ...
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 ...