Today’s “big data stack” includes databases, data management software and data analytics tools – all critical components of an effective operational or analytical data system. But all those ...

One of the major barriers to any successful Big Data project is mastering all of the technologies needed to make it happen. Big Data has evolved into a mish-mash of technologies, with Hadoop at the ...

Back in the early 1990s, you would sometimes hear this gag: “Two major products that came out of Berkeley: LSD and UNIX. We don’t believe this to be a coincidence.” Although wildly inaccurate, this ...

The answer may lie in another technology megatrend: the cloud. If vendors of Hadoop as a service and analytics as a service can hide the complexity of the underlying technologies on a cloud platform, ...

Oracle Corp. faces severe challenges from Big Data on three major fronts: It will see a steady erosion of its income as the market moves to Big Data technologies that Wikibon estimates cost a third of ...

A data-processing solution from Mesosphere leverages Spark, Kafka, and Cassandra -- but eschews Hadoop -- for enterprise level real-time big-data needs Mention big-data tools like Spark and Kafka to ...

Though a bit late, Google finally joined the bandwagon by launching a new service called Cloud Dataproc for processing Big Data and analytics. The platform supports real-time streaming, batch ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--Accelerite, a provider of infrastructure software for digital transformation, today announced ShareInsights 2.0, an end-to-end, self-service big data analytics ...

Big data systems tend to be large, complex and often hard to troubleshoot. In the world of databases, web and mobile stacks, application performance management services like AppDynamics and New Relic ...

SAN FRANCISCO — Hospitals need to move from a lagging reactive traditional business intelligence and statistics stance into a leading proactive analytics approach. Put another way: It’s time for the ...