![]() ![]() SQL Server 2019 builds on a new abstraction layer called Platform Abstraction Layer (PAL) which let’s you run SQL Server on multiple platforms and environments, such as Windows, Linux, and Containers. SQL Server 2019 Big Data cluster (BDC) is one of the most exciting pieces of technologies I have seen in a long time. In this blog post I want to give you a quick start tutorial into SQL 2019 Big Data clusters (BDC) and show you how to set it up on Azure Kubernetes Services (AKS), upload some data to HDFS and access the data from SQL and Spark. Hence, SQL Server 2019 Big Data cluster (BDC) is a scalable, performant and maintainable SQL platform, Data Warehouse, Data Lake and Data Science platform without compromising cloud and on-premise. On top, using Polybase you can connect to many different external data sources such as MongoDB, Oracle, Teradata, SAP Hana, and many more. (5) and both services Spark and HDFS run behind an Apache Knox Gateway (HTTPS application gateway for Hadoop). (4) it integrates Spark (a distributed compute engine) (3) it integrates HDFS (a distributed file storage) There are a couple of cool things about the BDC version: ![]() ![]() Microsoft latest SQL Server 2019 (preview) comes in a new version, the SQL Server 2019 Big Data cluster (BDC). Getting Started with Microsoft SQL 2019 Big Data clusters ![]()
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