Apache Hadoop’s computing and storage capabilities are persuading many CIOs to make the move to this distributed computing architecture. Unfortunately, the unreliability of some Hadoop distributions ...

Currently, the most prevalent application seen among Hadoop sites is log and event data analysis, particularly against the machine-generated data coming from web activity and devices. This may include ...

Vikash Varma, President and CEO of Argyle Data, a leader in native Hadoop applications for threat analytics in mobile communications, has provided a perspective on the company’s momentum and industry ...

Gary Nakamura: Concurrent, Inc. is the leader in Big Data application infrastructure, delivering products that help enterprises create, deploy, run and manage data applications at scale. The company’s ...

This week's O'Reilly Strata and Hadoop World conference in New York has attracted a wide range of IT vendors, from industry leaders like IBM and Hewlett-Packard to companies established in the Hadoop ...

As more organizations deploy Hadoop to analyze vast reams of information, they may find they need to transfer large amounts of data between Hadoop and their existing databases, data warehouses and ...

Technology professionals with strong skills in Apache Hadoop are among the hardest to find. In fact, demand for people with Hadoop expertise has skyrocketed 34% since last year, according to Wanted ...

In recent weeks, the folks at Cloudera, which provides support for implementations of Hadoop in the enterprise, have lined up an impressive number of allies for the increasingly popular ‘Big Data’ ...

The study provides competitive analysis of the Hadoop market by type, by application and by geography. The report also contains further segmentation by type and by applications across major ...

Hadoop distributor Cloudera has released a commercial edition of the Apache Spark program, which analyzes data in real time from within Cloudera’s Hadoop environments. The release has the potential to ...

One commonly cited stumbling block to the broader adoption of Apache Hadoop in the enterprise is the difficulty and expense of finding and hiring developers who understand and can think in Hadoop ...