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 ...

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 ...

In this special guest feature, Kunal Agarwal, CEO at Unravel Data explores the area of big data Application Performance Management (APM) and why enterprises need it. APM is not a new discipline, but ...

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 ...

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 ...

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 ...

Over at Enterprise Storage Forum, Dell’s Jeff Layton continues his series of features looking at Big Data processing components with a look at the specifically eight classes of the Application Stack, ...

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 ...

Input from theCUBE and data practitioner communities suggests that acceleration in compute performance and the sophistication of the modern data stack is outpacing the needs of many traditional ...

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 ...

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 ...