7 Signs Your Hair Is on Fire: The Challenges of Scaling Hadoop

7 potential pitfalls when scaling a Hadoop implementation and how to avoid them: http://bit.ly/1FxrHXy

Implementing and scaling Hadoop to analyze large quantities of data is enormously complicated. Unforeseen, very challenging problems are to be expected. However, if you can learn to recognize the problems before a fire starts, you can prevent your hair (and your Hadoop implementation) from igniting.

From the Hadoop experts at Altiscale, here are some of the danger signs and problems you should watch out for, as well as real-world lessons learned for heading them off.

Request your Free Information Brief :http://bit.ly/1FxrHXy

How Identity Management Solves Five Hadoop Security Risks

Big Data is creating significant opportunities for businesses, and the explosive growth of Hadoop clearly indicates its importance as a Big Data enabling technology. But combining new technologies with high-value data can increase risk potential. And Big Data is already a prime target due to the valuable information it encompasses.

This white paper explores how configuring Hadoop environments in secure mode before they enter production, strictly controlling user access to and administrative privileges within the Hadoop cluster, and auditing user and administrative activity helps companies to avoid key Hadoop security risks including:

The formation of new application identity silos Runaway administrator privileges Decreased mitigation capabilities Diminished regulatory compliance