In this workshop, you'll learn how SQL Server Big Data Clusters (BDC) implements large-scale data processing and machine learning, and how to select and plan for the proper architecture to enable machine learning to train your models using Python, R, Java or SparkML to operationalize these models, and how to deploy your intelligent apps side-by-side with their data.

The focus of this workshop is to understand how to deploy an on-premises or local environment of a big data cluster, and understand the components of the big data solution architecture.

You'll start by understanding the concepts of big data analytics, and you'll get an overview of the technologies (such as containers, container orchestration, Spark and HDFS, machine learning, and other technologies) that you will use throughout the workshop. Next, you'll understand the architecture of a BDC. You'll learn how to create external tables over other data sources to unify your data, and how to use Spark to run big queries over your data in HDFS or do data preparation. You'll review a complete solution for an end-to-end scenario, with a focus on how to extrapolate what you have learned to create other solutions for your organization.