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 ...

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 ...

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 ...

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 ...

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 ...

The global big data market will grow from $18.3 billion in 2014 to a whopping $92.2 billion by 2026, representing a strong compound annual growth rate of 14.4 percent, according to Wikibon’s newly ...

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 ...