This report focuses on how to tune a Spark application to run on a cluster of instances. We define the concepts for the cluster/Spark parameters, and explain how to configure them given a specific set ...

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 ...

Apache Spark brings high-speed, in-memory analytics to Hadoop clusters, crunching large-scale data sets in minutes instead of hours Apache Spark got its start in 2009 at UC Berkeley’s AMPLab as a way ...

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 ...

Apache Spark is a hugely popular execution framework for running data engineering and machine learning workloads. It powers the Databricks platform and is available in both on-premises and cloud-based ...

Google is promising a single notebook environment for machine learning and data analytics, integrating SQL, Python, and Apache Spark in one place.… Readers might note that other prominent vendors in ...

Last week, Microsoft unveiled the first release candidate refresh for SQL Server 2019, with Big Data Clusters being the primary focus of the announcement. This capability allows for the deployment of ...