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With SQL Server 2019, data scientists can easily analyze data in SQL Server and HDFS through Spark jobs.
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SQL Server simplifies the management of all your enterprise data by removing any barriers that currently exist between structured and unstructured data.
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HDFS, Spark, Knox, Ranger, Livy, all come packaged together with SQL Server and are quickly and easily deployed as Linux containers on Kubernetes. With SQL Server 2019, all the components needed to perform analytics over your data are built into a managed cluster, which is easy to deploy and it can scale as per your business needs. SQL Server continues to embrace open source, from SQL Server 2017 support for Linux and containers to SQL Server 2019 now embracing Spark and HDFS to bring you a unified data platform.
SQL SERVER 2019 LICENSE
With Azure Hybrid Benefit license portability, you can choose to run SQL Server workloads on-premises or in Azure, at a fraction of the cost of any other cloud provider. Because SQL Server 2019 big data clusters are deployed as containers on Kubernetes with a built-in management service, customers can get a consistent management and deployment experience on a variety of supported platforms on-premises and in the cloud: OpenShift or Kubernetes on premises, Azure Kubernetes Service (AKS), Azure Stack (on AKS) and OpenShift on Azure. SQL Server provides a true hybrid platform, with a consistent SQL Server surface area from your data center to public cloud-making it easy to run in the location of your choice. With SQL Server 2019, you can take on any data project, from traditional SQL Server workloads like OLTP, Data Warehousing and BI, to AI and advanced analytics over big data. And as with every release, SQL Server 2019 continues to push the boundaries of security, availability, and performance for every workload with Intelligent Query Processing, data compliance tools and support for persistent memory. Through the ability to create big data clusters, SQL Server 2019 delivers an incredible expansion of database management capabilities, further redefining SQL Server beyond a traditional relational database. Now, for the first time ever, SQL Server 2019 creates a unified data platform with Apache SparkTM and Hadoop Distributed File System (HDFS) packaged together with SQL Server as a single, integrated solution. As the volume and variety of data increases, customers need to easily integrate and analyze data across all types of data. In recent releases, SQL Server has gone beyond querying relational data by unifying graph and relational data and bringing machine learning to where the data is with R and Python model training and scoring. For 25 years, SQL Server has helped enterprises manage all facets of their relational data. Today at Ignite, Microsoft announced the preview of SQL Server 2019.