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 ...

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 ...

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 ...

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 ...

PySpark development is now fully supported in Visual Studio Code. Through an extension built for the aforementioned purpose, users can run Spark jobs with SQL Server 2019 Big Data Clusters. Last week, ...