Avoiding Split Brainedness in HA Hadoop Clusters
The US Patent Office recently granted Zettaset a patent for the underlying technology in its Hadoop high availability that prevents a "split-brain" situation where multiple master nodes think they're in control of the Hadoop cluster. It's a feather in the ...
Hadoop YARN adds more application threads for big data users
Even Hadoop's most enthusiastic proponents might admit that its marriage to MapReduce has limited what the open source technology can do. But with the advent of Hadoop 2 and its key component, the Hadoop YARN resource manager, the distributed processing ...
How to use Cassandra CQL in your Java Application
Cassandra Query Language (CQL) is a SQL (Structured Query Language)-like language for querying Cassandra. Cassandra's data model is a partitioned row store with tunable consistency. Rows are organized into tables; the first component of a table's primary key is the ...
How MapR’s M7 Platform Improves NoSQL and Hadoop
The M7 Edition. Sounds like a high performance sports car, doesn’t it? In reality, M7 is MapR’s enterprise-grade platform that provides its own unique brand of high-performance, dependability and ease of use to both NoSQL and Hadoop applications. M7 removes ...
Why NoSQL became MORE SQL
One of the key points I raised was about how many folks were just slapping on Big Data badges to the same old same old, another was that Map Reduce really doesn't work they way traditional IT estates behave which ...
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 ...
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 ...
16 Top Big Data Analytics Platforms
Revolutionary. That pretty much describes the data analysis time in which we live. Businesses grapple with huge quantities and varieties of data on one hand, and ever-faster expectations for analysis on the other. The vendor community is responding by providing ...
5 Keys to Big Data Success
As Big Data becomes more pervasive throughout farming, it’s important to understand what farmers need to make data collection and analysis successful, says John Fulton, Extension specialist at Auburn University.
"For many, there is no clear incentive or objective about the ...