Data Engineering on Microsoft Azure: Databrick Processing

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. When working with big data there needs to be a mechanism to process and transform this data quickly and efficiently. Azure Databricks is a service that provides the latest version of Apache Spark that provides functionality processing data from Azure Storage. In this course, you will learn about the types of processing that can be performed with Azure Databricks such as stream, batch, image and parallel processing. Next, you'll learn how to create an Azure Databricks workspace using an Apache Spark cluster, run jobs in the Azure Databricks Workspace jobs using a service principal and query data in SQL server using an Azure Databricks notebook. Next, you'll learn how to retrieve data from an Azure Blob Storage using Azure Databricks and the Azure Key Vault, implement a Cosmos DB service endpoint for Azure Databricks, and extract, transform, and load data using Azure Databricks. Finally, you'll learn how to stream data into Azure Databricks by using Event Hubs and perform sentiment analysis for steam data by making use of Azure Databricks. This course is one in a collection that prepares learners for the Microsoft Data Engineering on Microsoft Azure (DP-203) exam.