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 ...
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 ...
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 ...
Google today announced that its hosted Spark and Hadoop distribution, Cloud Dataproc, can now run on Kubernetes, at least as an alpha. It may not sound particularly groundbreaking. But when you ...
Absolutely nobody disputes the potential value of big data. It provides an economic way to ask new analytics questions that we were never able to ask before. And that is possible because we are able ...
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, ...
In the last decade there have been major advances in storing, analyzing, and acting upon extremely large data sets. Data sets that were previously left dormant are now being put to (mostly) ...
Lucid Imagination, a developer of search, discovery and analytics software based on Apache Lucene and Apache Solr technology, today unveiled LucidWorks Big Data™. LucidWorks Big Data is the industry's ...
Unravel Data, provider of a full-stack performance intelligence platform for optimizing Big Data operations (DataOps [1]), emerged from stealth, announcing a new platform to accelerate Big Data ...
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 ...
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 ...