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 ...

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 ...

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 ...

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 ...

When deploying Hadoop in a production environment, IT organizations often struggle with building applications that run across a Hadoop cluster. To solve that problem, the developers at LinkedIn ...

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 ...

Companies that want to use TensorFlow to execute deep learning models on big data stored in Hadoop may want to check out the new SmartAI offering unveiled by Datameer today. Deep learning has emerged ...

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 ...

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 ...