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

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Prashant Kumar Mishra Limitless Analytics with Azure Synapse: An end-to-end analytics service for data processing, management, and ingestion for BI and ML requirements
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Leverage the Azure analytics platforms 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, youll 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, youll go on to choose and set up the correct environment for your business problem. Youll also learn a variety of ways to ingest data from various sources and orchestrate the data using transformation techniques offered by Azure Synapse. Later, youll explore how to handle both relational and non-relational data using the SQL language. As you progress, youll 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, youll discover how to protect sensitive data in real time by using security and privacy features.

By the end of this Azure book, youll 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
  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

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Limitless Analytics with Azure Synapse

An end-to-end analytics service for data processing, management, and ingestion for BI and ML requirements

Prashant Kumar Mishra

BIRMINGHAMMUMBAI Limitless Analytics with Azure Synapse Copyright 2021 Packt - photo 2

BIRMINGHAMMUMBAI

Limitless Analytics with Azure Synapse

Copyright 2021 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Kunal Parikh

Publishing Product Manager: Sunith Shetty

Senior Editor: David Sugarman

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Production Designer: Nilesh Mohite

First published: June 2021

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Published by Packt Publishing Ltd.

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ISBN 978-1-80020-565-9

www.packt.com

Foreword

I would like to start by saying that data is the new currency for all enterprises across all industries as well as in the government sector. Digital transformations are rampant across every customer segment and data-first modernization is critical, whether for business transformation or legacy modernization. Microsoft's data products and the Azure platform are being widely used for true digital transformation as they provide a single pane of glass to store, analyze, and get better insights into data. For Azure Synapse Analytics, the emphasis on it being a platform rather than a product is key to underscore, as Azure Synapse is an amalgamation of big data analytics with an enterprise data warehouse that enables you to perform limitless analytics on your data at scale without worrying about any infrastructure management overhead.

In this book, Prashant Kumar Mishra, an engineering architect and my colleague at Azure Data Product Engineering, leads you on a journey to learn Azure Synapse from scratch. He explains dedicated SQL pools, serverless SQL pools, and Spark pools in detail. He has also covered data integration, visualization, and machine learning operations with Azure Synapse in this book.

This book is a step-by-step guide for beginners. You will find easy-to-understand guidance on the features available in Azure Synapse. You will also learn how to secure the data stored in Azure Synapse and how to perform backup and restore operations for high availability as well as disaster recovery solutions.

I have been in the industry for more than 20 years now and I have never seen people be as keen on digital modernization as they are now. In this era, Microsoft has done a great job of introducing Azure Synapse to the world as the best analytics solution. I moved to Microsoft approximately 7 years ago, but I have always been an avid admirer of Microsoft's data services, and I take immense pride in saying that Microsoft provides you with all the solutions you need for your data-related problems.

On this note, I would like to thank Prashant for writing this book. This book will definitely give you the full picture of how all of Microsoft's data services are stitched together by Azure Synapse.

Mukesh Kumar Principal Group Engineering Architect Manager, Microsoft

Contributors
About the author

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.

I wish to thank those people who have been close to me and supported me, especially my wife, Saranya, who inspired me to write this book, my parents (Mr. Mohan Mishra and Mrs. Uma Devi), my in-laws (Mr. Ravichander T and Mrs. Kalai Ravi), and my sisters (Supriya and Diya), who have always stood by me in all my decisions and endeavors.

I can't end this note without mentioning my small, cute Maltese, Toffee, who brings joy to our lives every day.

About the reviewer

Amit Navgire is a computer science postgraduate, a Microsoft Certified Trainer, and a Microsoft Certified Azure Data Engineer. He currently works as a data architect and brings with him 13+ years of extensive experience in designing, architecting, and implementing enterprise-scale data warehouse solutions using Azure, SQL Server, MSBI, and so on. He is quite popular in the world of Azure training, with more than 25,000 students enrolled in his courses, which are published on various online platforms, including Udemy and Coursera, as well as on his website.

About the contributor

Saranya Ravichander is a senior cloud solution architect at Microsoft and also a Microsoft Certified Trainer. She has been working on the Microsoft technology stack for more than 10 years, with a large part of this time devoted to Microsoft Azure, focusing on designing, architecting, and implementing enterprise-scale application development and DevOps workloads.

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