Book Image

Azure Databricks Cookbook

By : Phani Raj, Vinod Jaiswal
Book Image

Azure Databricks Cookbook

By: Phani Raj, Vinod Jaiswal

Overview of this book

Azure Databricks is a unified collaborative platform for performing scalable analytics in an interactive environment. The Azure Databricks Cookbook provides recipes to get hands-on with the analytics process, including ingesting data from various batch and streaming sources and building a modern data warehouse. The book starts by teaching you how to create an Azure Databricks instance within the Azure portal, Azure CLI, and ARM templates. You’ll work through clusters in Databricks and explore recipes for ingesting data from sources, including files, databases, and streaming sources such as Apache Kafka and EventHub. The book will help you explore all the features supported by Azure Databricks for building powerful end-to-end data pipelines. You'll also find out how to build a modern data warehouse by using Delta tables and Azure Synapse Analytics. Later, you’ll learn how to write ad hoc queries and extract meaningful insights from the data lake by creating visualizations and dashboards with Databricks SQL. Finally, you'll deploy and productionize a data pipeline as well as deploy notebooks and Azure Databricks service using continuous integration and continuous delivery (CI/CD). By the end of this Azure book, you'll be able to use Azure Databricks to streamline different processes involved in building data-driven apps.
Table of Contents (12 chapters)

Creating a visualization in Power BI for near-real-time analytics

Before starting, we need to ensure we have executed the following notebook. This notebook creates the required tables on which we can build out visualizations and dashboards in the notebook: https://github.com/PacktPublishing/Azure-Databricks-Cookbook/blob/main/Chapter07/7.1-End-to-End%20Data%20Pipeline.ipynb.

Getting ready

Before starting to work on this recipe, you need to get the server hostname and the HyperText Transfer Protocol (HTTP) path details for the Azure Databricks clusters.

Go to the Clusters tab in the Azure Databricks workspace and select the cluster you are using. Under Configuration, you will find advanced options—select the JDBC/ODBC option to get the details about the server hostname and HTTP path, as shown in the following screenshot:

Figure 7.23 – Cluster configuration details

Copy the entire string for the server hostname and HTTP path that you...