Hadoop, an open source framework that enables distributed computing, has changed the way we deal with big data. Parallel processing with this set of tools can improve performance several times over.

Delivered as part of the Accelerating Application Performance session, the Exar presentation reviewed the challenges associated with “Big Data”, Hadoop's role in addressing Big Data challenges, and ...

SANTA CLARA, Calif., Mar 15, 2017 — BlueData, provider of a Big-Data-as-a-Service (BDaaS) software platform, today announced breakthrough performance results. The results from a new Intel benchmarking ...

Compuware Corporation, a technology performance company, announced pricing for what it says is the industry's first deep transaction management solution for optimizing performance of Apache Hadoop ...

In this special guest feature, Mike Hoskins, CTO at Actian, offers some hard won tips for how to avoid the immaturity “cost iceberg” that hampers Hadoop adoption today. Michael directs Actian’s ...

InfiniDB, which recently introduced InfiniDB 4.5, has announced the results of a new benchmark test conducted by Radiant Advisors to compare the performance of leading open source SQL-on-Hadoop query ...

The DX2040 offloads computationally intensive compression and security algorithms from a host CPU, reducing costly I/O bottlenecks and enabling maximum system throughput while optimizing storage ...

While there is a lot of interest in the Apache Hadoop framework because of its promise to cost effectively work with massive amounts of data, there’s also a lot of frustration with the overall ...

The performance bottlenecks in a Hadoop cluster for 66 nodes are different from the bottlenecks found in a Hadoop cluster of 1,000 nodes, she said. The performance can vary according to the type of ...