Hadoop and MapReduce, the parallel programming paradigm and API originally behind Hadoop, used to be synonymous. Nowadays when we talk about Hadoop, we mostly talk about an ecosystem of tools built ...

A Spark application contains several components, all of which exist whether you’re running Spark on a single machine or across a cluster of hundreds or thousands of nodes. Each component has a ...

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 ...

Snowflake is launching a client connector to run Apache Spark code directly in its cloud warehouse - no cluster setup required.… This is designed to avoid provisioning and maintaining a cluster ...

When it comes to leveraging existing Hadoop infrastructure to extend what is possible with large volumes of data and various applications, Yahoo is in a unique position–it has the data and just as ...

As readers of The Next Platform are well aware, Hewlett Packard Enterprise is staking a lot of the future of its systems business on The Machine, which embodies the evolving concepts for disaggregated ...

SAN FRANCISCO, Calif., Feb. 19 — Zoomdata, developers of the Zoomdata big data analytics and visualization system, today announced a new engine in the latest release (version 1.5) that integrates ...

Data scientists everywhere are delving more deeply into deep learning (DL). If you’re only skimming the surface of this trend, you might think that the Spark community, which focuses on broader ...

As I wrote in March of this year, the Databricks service is an excellent product for data scientists. It has a full assortment of ingestion, feature selection, model building, and evaluation functions ...