Learn the architecture and implementation of Microsoft’s latest SQL Server capability - Big Data Clusters. Combine SQL Server for data, PolyBase for data virtualization, Data Pools for scale-out data processing, and Spark with HDFS for scalable non-relational data processing and analysis.
You’ll begin this video with a quick overview of the big data space, along with an easy-to-understand introduction to containers, Kubernetes, Spark, and HDFS. You’ll put those pieces together by planning and deploying your own cluster. Then it’s on to operationalizing the cluster through problem-solving with Transact-SQL, PolyBase, data processing at scale, and working with Spark and HDFS.
What You Will Learn
Understand big data technologies such as Spark and HDFS
Deploy a Big Data Cluster on a Kubernetes environment in Azure
Implement PolyBase queries to bring in data from external sources
Run Transact-SQL statements and process relational data at scale
Execute Spark jobs and machine learning from within SQL Server 2019
Implement basic security protocols to protect your data from theft
Who This Video Is For
Database professionals who are curious about SQL Server 2019’s flagship feature. For those who want to get started in querying and analyzing massive amounts of data using Spark and HDFS clusters while taking advantage of their SQL Server investment.