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 ...

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 ...

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 ...

Apache Spark and Apache Hadoop are both popular, open-source data science tools offered by the Apache Software Foundation. Developed and supported by the community, they continue to grow in popularity ...

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 ...

Apache Spark, the in-memory and real-time data processing framework for Hadoop, turned heads and opened eyes after version 1.0 debuted. The feature changes in 1.2 show Spark working not only to ...

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 ...