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 ...
How Accurate is Mahout for Summing Numbers?
A question was recently posted on the Mahout mailing list suggesting that the Mahout math library was "unwashed" because it didn't use Kahan summation. Â My feeling is that this complaint is not founded and Mahout is considerably more washed than ...
Cassandra-Database Solution for modern day applications?
Cassandra is a one stop choice for data driven organizations dealing with real-time Big Data operations for their core functionalities. Now what makes it so dear to the developers and organizations dealing huge databases is a bunch of features that ...
Top 7 Tips to Succeed with Big Data
Today all the businesses are focusing and investing on big data Analytics to offer reliable services and to get profits. Big data is playing vital role in making the better business decisions by enabling data scientists and other users to ...
Hadoop and NoSQL Now Data Warehouse-Worthy-Gartner
Not long ago, the rules for what constituted a data warehouse were fairly well defined. The schema was fixed, you could say, and was based primarily on relational database technology designed to process structured data. My, how times have changed. ...
Integrating Hadoop into Business Intelligence and Data Warehousing
Information from SAS and TDWI Research
The purpose of this report is to accelerate users’ understanding of the many new products and practices based on Hadoop technologies that have emerged in recent years. While Hadoop usage is a minority practice today, ...
7 Tips to Succeed with Big Data in 2014
Information from Tableau Software
What a year 2013 was for big data. From the White House to your house, it’s hard to find an organisation or consumer who has less data today than a year ago. Database options proliferate, and business ...
Data Export from Hadoop MapReduce to Database
Hadoop has become a huge part of Data Warehouse in most companies. It is used for a variety of use-cases: Search and Web Indexing, Machine learning, Analytics and Reporting, and so on. Most organizations are building Hadoop clusters in addition ...
Hadoop gets native R programming for big data analysis
Sensing a growing interest in big data-style analysis, software provider Revolution Analytics has updated its flagship package of R statistical functions so it can be run with the Hadoop data processing platform.
Revolution R Enterprise 7 (RRE 7), to be made ...
6 Issues To Consider When Planning A Big Data Project
Big data should be about solving specific problems, not just jumping on the technology bandwagon. Here are six issues to consider as you plan or refine big data projects.
Big data picture from Shutterstock
These comments come from the recent Gartner Symposium ...