Apache Spark is a project designed to accelerate Hadoop and other big data applications through the use of an in-memory, clustered data engine. The Apache Foundation describes the Spark project this ...

June was an exciting month for Apache Spark. At Hadoop Summit San Jose, it was a frequent topic of conversation, as well as the subject of many session presentations. On June 15, IBM announced plans ...

Here’s an image for you. There is no such thing as a data lake. The multi-petabyte storage racks nearly overflowing with unstructured and semi-structured data that are being built by hyperscalers, ...

There is a lot of confusion around about Spark and Hadoop, but Matthew Hunt, head of Big Data at Bloomberg LP, thinks this is only due to a lack of understanding. In an interview at Spark Summit East ...

It is probably a good thing that Doug Cutting, the creator of Hadoop, named the batch-mode data analytics product he created at Yahoo after his child’s stuffed animal rather than something specific ...

Google has a new cloud service in beta aimed at simplifying data analysis on Hadoop and Spark. Offered as a managed service via the Google Cloud Platform, Cloud Dataproc is geared toward open-source ...

Google is adding another product in its range of big data services on the Google Cloud Platform today. The new Google Cloud Dataproc service, which is now in beta, sits between managing the Spark data ...

Getting insights out of big data is typically neither quick nor easy, but Google is aiming to change all that with a new, managed service for Hadoop and Spark. Cloud Dataproc, which the search giant ...

In an IT environment that has shifted from relatively simple to diverse, vast and complex, IBM Analytics works to unravel this complexity for its customers. Paul Gillin, cohost of theCUBE, from the ...

The first Spark Summit East conference concluded yesterday, just a month after Apache Spark practically stole the show at the Strata+Hadoop World conference, reinvigorating the debate about where the ...