Leverage the Azure analytics platform's key analytics services to deliver unmatched intelligence for your data
Key Features
Learn to ingest, prepare, manage, and serve data for immediate business requirements
Bring enterprise data warehousing and big data analytics together to gain insights from your data
Develop end-to-end analytics solutions using Azure Synapse
Book Description
Azure Synapse Analytics, which Microsoft describes as the next evolution of Azure SQL Data Warehouse, is a limitless analytics service that brings enterprise data warehousing and big data analytics together. With this book, you'll learn how to discover insights from your data effectively using this platform.
The book starts with an overview of Azure Synapse Analytics, its architecture, and how it can be used to improve business intelligence and machine learning capabilities. Next, you'll go on to choose and set up the correct environment for your business problem. You'll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, you'll explore how to handle both relational and non-relational data using the SQL language. As you progress, you'll perform real-time streaming and execute data analysis operations on your data using various languages, before going on to apply ML techniques to derive accurate and granular insights from data. Finally, you'll discover how to protect sensitive data in real time by using security and privacy features.
By the end of this Azure book, you'll be able to build end-to-end analytics solutions while focusing on data prep, data management, data warehousing, and AI tasks.
What you will learn
Explore the necessary considerations for data ingestion and orchestration while building analytical pipelines
Understand pipelines and activities in Synapse pipelines and use them to construct end-to-end data-driven workflows
Query data using various coding languages on Azure Synapse
Focus on Synapse SQL and Synapse Spark
Manage and monitor resource utilization and query activity in Azure Synapse
Connect Power BI workspaces with Azure Synapse and create or modify reports directly from Synapse Studio
Create and manage IP firewall rules in Azure Synapse
Who this book is for
This book is for data architects, data scientists, data engineers, and business analysts who are looking to get up and running with the Azure Synapse Analytics platform. Basic knowledge of data warehousing will be beneficial to help you understand the concepts covered in this book more effectively.
Table of Contents
Introduction to Azure Synapse
Considerations for Your Compute Environment
Bringing Your Data to Azure Synapse
Using Synapse Pipelines to Orchestrate Your Data
Using Synapse Link with Azure Cosmos DB
Working with T-SQL in Azure Synapse
Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse
Integrating a Power BI Workspace with Azure Synapse
Perform Real-Time Analytics on Streaming Data
Generate Powerful Insights on Azure Synapse Using Azure Machine Learning
Performing Backup and Restore in Azure Synapse Analytics
Securing Data on Azure Synapse
Managing and Monitoring Synapse Workloads