If You Are Relying Mostly On Hadoop to Meet Your Regulatory Compliance Needs, Your Company Could Be in Trouble

In this special guest feature, Stefan Pracht, Senior Vice President, Product Marketing, Axellio, says that although Hadoop may be a strong solution for the big-and-fast data issue, it is becoming constrained by conventional server designs in a world in which institutions are having to deal with billions of records per day. Organizations may significantly reduce the expenses and equipment required to conduct these critical activities by using a server platform that utilizes a high-density, all-NVMe SSD-based appliance as the basis of the solution.  It should be considered as a viable alternative to a Hadoop-only solution architecture.

Hadoop 101: Machine Learning in Big Data – Look Forward or Be Left Behind

In the Hadoop Summit 2015 presentation below, Bill Porto, senior analytics engineer at RedPoint Global, will discuss why continual, adaptive optimization is key to maintaining a leadership position in the market.

Hadoop 101: The Future of Analytics – Real-time streaming

Thomas Weise, principal architect at DataTorrent, discusses the future of analytics – the importance of real-time streaming and how it is essential for big data analytics and provides valuable insights from data being processed while current and most relevant, rather than hours or days later.

Hadoop 101: Top 10 Hadoop Learning Videos

We’ve put together a list of the Top 10 Hadoop videos found on Youtube. There are some real gems here, accounting for millions of views, and the collection could become the basis of important new big data initiatives in your enterprise.

Hadoop 101: Simplifying MapReduce Development

This article explores some typical configuration roadblocks found in traditional Hadoop platforms and explains how they can be sidestepped using ScaleOut hServer using the WordCount application to illustrate these benefits.