Book Image

Azure Data Engineering Cookbook - Second Edition

By : Nagaraj Venkatesan, Ahmad Osama
Book Image

Azure Data Engineering Cookbook - Second Edition

By: Nagaraj Venkatesan, Ahmad Osama

Overview of this book

The famous quote 'Data is the new oil' seems more true every day as the key to most organizations' long-term success lies in extracting insights from raw data. One of the major challenges organizations face in leveraging value out of data is building performant data engineering pipelines for data visualization, ingestion, storage, and processing. This second edition of the immensely successful book by Ahmad Osama brings to you several recent enhancements in Azure data engineering and shares approximately 80 useful recipes covering common scenarios in building data engineering pipelines in Microsoft Azure. You’ll explore recipes from Azure Synapse Analytics workspaces Gen 2 and get to grips with Synapse Spark pools, SQL Serverless pools, Synapse integration pipelines, and Synapse data flows. You’ll also understand Synapse SQL Pool optimization techniques in this second edition. Besides Synapse enhancements, you’ll discover helpful tips on managing Azure SQL Database and learn about security, high availability, and performance monitoring. Finally, the book takes you through overall data engineering pipeline management, focusing on monitoring using Log Analytics and tracking data lineage using Azure Purview. By the end of this book, you’ll be able to build superior data engineering pipelines along with having an invaluable go-to guide.
Table of Contents (16 chapters)

Building the Serving Layer in Azure Synapse SQL Pool

As introduced in Chapter 8, Processing Data Using Azure Synapse Analytics, Azure Synapse Analytics comprises three key components – the Synapse integration pipeline to ingest and transform the data, the SQL pool and the Spark pool to process and serve the data, and Power BI integration to visualize the data. The SQL pool, the relational data warehouse engine, is usually the layer that maintains the processed data and will be used as the data serving layer consumed by reporting solutions. So, this chapter will focus on how to load processed data into a dedicated SQL pool and maintain dedicated SQL pools.

In this chapter, we will cover the following main topics:

  • Loading data into dedicated SQL pools using PolyBase and T-SQL
  • Loading data into dedicated SQL pools using COPY INTO
  • Creating distributed tables and modifying table distribution
  • Creating statistics and automating the update of statistics
  • Creating...