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 ...
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 ...
Big data technologies are increasingly considered an alternative to the data warehouse. Surveys of large corporations and organisations bear out the strong desire to incorporate big data management ...
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 ...
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 ...
To ensure big data is used to influence outcomes that are meaningful to the nursing profession, nurse executives need to act as data visionaries and architects. Have you ever found yourself poring ...
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 ...
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