Master Azure Databricks Step By Step

Master Azure Databricks Step by Step will take you from beginner to master with a guided example packed use case demonstrating how to use the many features of this big data service. Learn how create and use Databricks clusters for Big Data engineering and data science. Discover the powerful features of Databricks notebooks and how to use them with Python, R, Scala, and SQL. You will learn how to use many types of data from flat file format like CSV, JSON, XML, and parquet to data services like Azure SQL, and other relational databases. • Learn how to read from any data source and write to any destination with ease. • Load XML files and navigate the nodes using SQL. • Create Spark SQL tables on top of flat files and relational databases. • Perform data wrangling with Python, R, Scala, and SQL. • Learn how to share data between Python, R, Scala, and SQL. • Learn the difference between SparkR and sparklyr and when to use each. • Secure your data with Azure Key Vault and Databricks secrets. • Discover little know features of Databricks notebooks like customizing output from open source languages Python, Scala, and R. • See how you can integrate Databricks with Azure Machine Learning and the open source MLFlow to fully operationalize your data science pipelines. • Leverage the power of dataframes and datasets with Scala. • Create sophisticated dashboards with widgets to dynamically update the visuals. • Train a predictive model in Python and deploy it to the Azure Machine Learning service. • Scale up your solution with Azure Data Lake Generation 2. • Use SQL to get data warehouse like functionality on Databricks. Don't fall behind! Bring your skills into the cloud first age by mastering the number 1 cloud based big data platform, Databricks! Read more