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Bhadresh Shiyal - Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse

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Bhadresh Shiyal Beginning Azure Synapse Analytics: Transition from Data Warehouse to Data Lakehouse
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Book cover of Beginning Azure Synapse Analytics Bhadresh Shiyal Beginning - photo 1
Book cover of Beginning Azure Synapse Analytics
Bhadresh Shiyal
Beginning Azure Synapse Analytics
Transition from Data Warehouse to Data Lakehouse
1st ed.
Logo of the publisher Bhadresh Shiyal Mumbai India Any source code or - photo 2
Logo of the publisher
Bhadresh Shiyal
Mumbai, India

Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub via the books product page, located at www.apress.com/978-1-4842-7060-8. For more detailed information, please visit http://www.apress.com/source-code.

ISBN 978-1-4842-7060-8 e-ISBN 978-1-4842-7061-5
https://doi.org/10.1007/978-1-4842-7061-5
Bhadresh Shiyal 2021
This work is subject to copyright. All rights are solely and exclusively licensed by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Apress imprint is published by the registered company APress Media, LLC part of Springer Nature.

The registered company address is: 1 New York Plaza, New York, NY 10004, U.S.A.

Dedicated to my wife, Priti, and my daughter, Jiya.

Introduction

This book is about beginning to learn Azure Synapse Analytics. It is the most modern data analytics platform offered by Microsoft. It is always challenging to start learning a new IT skill, as you will have to learn new jargon, concepts, methods, tools, and technologies as part of the process. Azure Synapse Anlaytics is no different. I hope that this book will give you a solid technical foundation for starting your journey in the new world of Azure Synapse Analytics.

Anyone with a little IT background, particularly in Azure cloud, will be able to understand the content of the book very easily. The book is targeted to data analysts, data engineers, data scientists, data architects, solution architects, Azure developers, Azure administrators, and so forth who are keen to begin their Azure Synapse Analytics journey. This book will be a good starting point. I have concentrated on some basic concepts in the first two chapters so that it becomes easy for anyone to start learning about Azure Synapse Analytics.

The book has a total of ten chapters, and I recommend that you read them in sequence if you are new to data analytics. If you have a basic understanding of data analytics, data lake, data warehouse, data lakehouse, etc., then you can skip the first two chapters and jump to the third chapter directly. If anyone is interested in any specific components of Azure Synapse Analytics, then one can jump to that components specific chapter directly as well. Here I have given a very high-level summary of each chapter in a very brief manner:
  • Chapter : Core Data and Analytics Concepts introduces readers to some of the important core data and analytics concepts as a foundation.

  • Chapter : Modern Data Warehouse and Data Lakehouse provides conceptual understanding about traditional/legacy data warehouse, modern data warehouse, and finally the most modern data lakehouse.

  • Chapter : Introduction to Azure Synapse Analytics builds foundational knowledge by introducing Azure Synapse Analytics, its main features, and its key services capabilities.

  • Chapter : Architecture and Its Main Components explains Azure Synapse Analytics core architecture and its main components, as it is very different from traditional data warehouse architecture and its components.

  • Chapter : Synapse SQL explores Synapse SQL in detail, including its architecture, its main features, and some how-tos to make readers familiar with some important activities that can be carried out for Synapse SQL.

  • Chapter : Synapse Spark explains Synapse Spark, its main components, and Delta Lake, along with some how-tos to make readers familiar with important tasks pertaining to Synapse Spark.

  • Chapter : Synapse Pipelines introduces Azure Synapse Pipelines and explans various types of pipeline activities with examples.

  • Chapter : Synapse Workspace and Synapse Studio familiarizes readers with Synapse Workspace and Synapse Studio, including its main features and its capabilities and how to accomplish some important tasks.

  • Chapter : Synapse Link explains the differences between OLTP and OLAP, why HTAP is required and its benefits, and then introduces Synapse Link along with its Cosmos DB integration, its features, and some use cases.

  • Chapter : Azure Synapse Use Cases and Reference Architectures discusses some of the industry use cases and reference architectures to introduce readers to real-life usage of Azure Synapse Analytics.

Happy reading !

Acknowledgments

I always believed that writing a book was a solo exercise, but after completing this book, which is also my first book, I realized that this is not entirely true. You will need support and motivation to continue writing the chapters one after another, tirelessly.

First, I would like to thank my wife, Priti, and my daughter, Jiya, for bearing with me over the many weekends and weekdays, for over six months, on which I devoted my time to this book after completing my day job. The time that was meant to be given to them, I have devoted to writing this book; hence, a very big thank you to both of them. Without their support and constant motivation to complete the chapters on time, it would have not been possible to complete the book.

There are a couple of friends and colleages whom I would like to thank for their support, guiadance, and motivation. I was not initially sure if I could author a book. So, I reached out to a couple of people who have authored books through LinkedIn before deciding to write this book. I would like to thank Mitesh Soni ( https://www.linkedin.com/in/mitesh-s-136842b ) for help and guidance on this matter. I would also like to thank my colleague and friend Amit Ubale ( https://www.linkedin.com/in/amit-ubale ) for the constant support and motivation throughout the entire book-writing exercise.

I got constant support from Apress throughout the entire book-writing process. Special thanks go to Smriti Srivastav, acquisition editor, for the initial contract and clarifying all my doubts promptly; Shrikant Vishwakarma, coordinating editor, for genuine follow-ups for each chapter, which kept me on track; and Laura Berendson, development editor, for reviewing each chapter minutely. Finally, I thank Massimo Nardone for his technical review of my book.

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