This cheatsheet is designed to provide quick access to the most commonly used Spark components, methods, and practices. Use it as a handy quick reference guide to all things Apache Spark.
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With CU5, Microsoft has focused on key capabilities to the SQL Server, along with Big Data Clusters. One of the main improvements is deployment for BDC on the Red Hat OpenShift Kubernetes platform.
After the recent announcement that the Apache Spark Connector for the SQL Server and Azure SQL was to be open-sourced, Microsoft has now unveiled that the connector is available on GitHub.
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Microsoft is readying SQL Server 2019 for release, with enhancements to help users combine structured and unstructured data, leverage data virtualization across a wider range of sources, and more.
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.
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Microsoft's Apache Spark-based analytics platform has now gotten a series of enhancements centered around big data service integrations, while also expanding its availability to four new regions.
Microsoft has announced that Azure Databricks is now available to the general public. With Azure Databricks, Microsoft has laid emphasis on productivity, scalability, and security.
Building on its $300m investment to develop Spark "as a type of 'analytics OS'", IBM's new offering promises "an interactive, collaborative, cloud-based" development environment for data scientists.
The company said today that it's "announcing an extensive commitment for Spark to power Microsoft's big data and analytics offerings including Cortana Intelligence Suite, Power BI, and R Server."
