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 ...
LONDON--(BUSINESS WIRE)--Technavio analysts forecast the global Hadoop market to grow at a CAGR of more than 59% during the forecast period, according to their latest report. The research study covers ...
Hadoop is not trivial to use, the interface by default is command line, and its rich attributes do come with some complexity of administration and understanding, said Trajman. For people who are ...
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 ...
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 ...
SANTA CLARA, CA, July 21, 2021 — Quobyte Inc., a developer of scale-out software-defined storage (SDS), today announced availability of its Hadoop Driver. Quobyte’s new native driver for Hadoop ...
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 ...
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’ ...
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 ...
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 ...
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 ...
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 ...
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