Limitless Analytics with Azure Synapse: An end-to-end analytics service for data processing, management, and ingestion for BI and ML requirements

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 engineers, IT professionals, business analysts, data scientists, and database administrators 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

1. Introduction to Azure Synapse
2. Considerations for Your Compute Environment
3. Bringing Your Data to Azure Synapse
4. Using Synapse Pipelines to Orchestrate Your Data
5. Using Synapse Link with Azure Cosmos DB
6. Working with T-SQL in Azure Synapse
7. Working with R, Python, Scala, .NET, and Spark SQL in Azure Synapse
8. Integrating a Power BI Workspace with Azure Synapse
9. Perform Real-Time Analytics on Streaming Data
10. Generate Powerful Insights on Azure Synapse Using Azure Machine Learning
11. Performing Backup and Restore in Azure Synapse Analytics
12. Securing Data on Azure Synapse
13. Managing and Monitoring Synapse Workloads
14. Coding Best Practices

Prashant Kumar Mishra is an engineering architect at Microsoft. He has more than 10 years of professional expertise in the Microsoft data and AI segment as a developer, consultant, and architect. He has been focused on Microsoft Azure Cloud technologies for several years now and has helped various customers in their data journey. He prefers to share his knowledge with others to make the data community stronger day by day through his blogs and meetup groups.