Book Image

Azure Data Engineering Cookbook

By : Ahmad Osama
Book Image

Azure Data Engineering Cookbook

By: Ahmad Osama

Overview of this book

Data engineering is one of the faster growing job areas as Data Engineers are the ones who ensure that the data is extracted, provisioned and the data is of the highest quality for data analysis. This book uses various Azure services to implement and maintain infrastructure to extract data from multiple sources, and then transform and load it for data analysis. It takes you through different techniques for performing big data engineering using Microsoft Azure Data services. It begins by showing you how Azure Blob storage can be used for storing large amounts of unstructured data and how to use it for orchestrating a data workflow. You'll then work with different Cosmos DB APIs and Azure SQL Database. Moving on, you'll discover how to provision an Azure Synapse database and find out how to ingest and analyze data in Azure Synapse. As you advance, you'll cover the design and implementation of batch processing solutions using Azure Data Factory, and understand how to manage, maintain, and secure Azure Data Factory pipelines. You’ll also design and implement batch processing solutions using Azure Databricks and then manage and secure Azure Databricks clusters and jobs. In the concluding chapters, you'll learn how to process streaming data using Azure Stream Analytics and Data Explorer. By the end of this Azure book, you'll have gained the knowledge you need to be able to orchestrate batch and real-time ETL workflows in Microsoft Azure.
Table of Contents (11 chapters)

Chapter 3: Analyzing Data with Azure Synapse Analytics

Azure Synapse Analytics, formerly known as SQL Data Warehouse, combines data warehousing and big data analytics to provide a unified experience to extract, load, and transform data. Azure Synapse has the following features—Synapse SQL – T-SQL-based analytics (SQL pools and SQL on-demand), Spark Analytics, Synapse pipelines, and Synapse studio. At the time of writing this book, all features except Synapse SQL are in preview.

Azure Synapse Analytics is important to learn as data warehousing is an important part of data engineering and big data solutions.

Azure Synapse SQL can be used to quickly load data from sources and perform transformations. The transformation queries are fast as Azure Synapse SQL uses massive parallel processing (MPP) architecture to process the queries.

In this chapter, we'll cover the following recipes:

  • Provisioning and connecting to an Azure Synapse SQL pool using PowerShell...