At the center of the new big data movement is the Hadoop framework, which provides an efficient file system and related ecosystem of solutions to store and analyze big datasets. The Hadoop ecosystem ...
If you thought Big Data open source project names were whimsical thus far, get ready for a new precedent in this trend. Splunk has taken its machine Big Data analytics platform and generalized it to ...
SAN FRANCISCO--(BUSINESS WIRE)--Splunk Inc. (NASDAQ: SPLK), provider of the leading software platform for real-time operational intelligence, today announced the next evolution of big data analytics ...
The Karmasphere 2.0 Collaborative Analytics Workspace provides users across the company with self-service access to Big Data Analytics on Hadoop including analytic projects, visualizations, and ...
EMC has crafted a distribution of the Hadoop data processing project and announced compatible hardware for its Greenplum product range. The storage company hopes the hardware and software products, ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
“Our business users all want powerful, simple reporting tools for the data they store in Apache Hadoop. Connecting the Jaspersoft reporting engine directly to Hadoop makes it easy for analysts to use ...
Apache Hadoop is becoming the de facto infrastructure environment for pushing data across a distributed infrastructure to then later analyze with MapReduce in an effort to optimize web pages, ...
Attunity Ltd. (NASDAQ CM: ATTU), a leading provider of Big Data management software solutions, announced the latest release of Attunity Visibility for Hadoop with enhanced technology to enable ...
Startup Kyvos Insights emerged from stealth mode Tuesday, debuting its big data analytics software designed to glean insights from huge volumes of corporate data. Kyvos Insights, based in Los Gatos, ...
A clear big data definition can be difficult to pin down because big data can cover a multitude of use cases. But in general the term refers to sets of data that are so large in volume and so complex ...
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