Millions of dollars have been invested in developing MapReduce code for large data analytics projects. With each new technology that joins the fray, code needs to be migrated in order to take full ...

DUBLIN--(BUSINESS WIRE)--The "Hadoop Big Data Analytics Market - Growth, Trends, COVID-19 Impact, and Forecasts (2023 - 2028)" report has been added to ResearchAndMarkets.com's offering. The Hadoop ...

Isotopes, co-founded by Arun Murthy, launched a sophisticated analytics agent. Arun was one of the creators of Hadoop who ...

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 ...

EMC today announced a comprehensive strategy for distributing, integrating and supporting the Apache Hadoop open-source software as an enterprise-ready tool for Big Data. EMC introduced the world's ...

Hadoop is also more cost-effective than traditional analytics platforms such as data warehouses. With data warehouses, for example, investment needs to be made in the platform itself, along with ...

BOSTON, Mass., Aug. 5 — Lavastorm Analytics, a leading agile data management and analytics software company, today announced new features that extend the capabilities of its analytics engine and bring ...

LOS GATOS, Calif., June 22 — Kyvos Insights, a big data analytics company, today announced general availability of the next major version of Kyvos – a massively scalable, self-service analytics ...

Pentaho's Business Analytics 4.5 is now certified on Cloudera's latest releases, Cloudera Enterprise 4.0 and CDH4. Pentaho also announced that its visual design studio capabilities have been extended ...

In a world of real-time data, why are we still so fixated on Hadoop? Hadoop, architected around batch processing, remains the poster child for big data, though its outsized reputation still outpaces ...

The fall of MapR caused a rush to judgement about the future of Hadoop. To understand what this means for data initiatives, the viability of Hadoop and data lakes must be separately examined. Data ...