Authors:
- Helps you take advantage of relational and post-relational features in Azure SQL Database
- Shows you how to use Azure SQL Database features to make better, simpler, faster applications and APIs
- Follows a pragmatic approach focusing on what to do, how to do it, and why to do it
- Discusses databases from a developer's perspective and especially on ways to get things done properly and efficiently
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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world.
What You Will Learn
- Master Azure SQL Database in your development projects from design to the CI/CD pipeline
- Access your data from any programming language and platform
- Combine key-value, JSON, and relational data in the same database
- Push data-intensive compute work into the database for improved efficiency
- Delight your customers by detecting and improving poorly performing queries
- Enhance performance through features such as columnstore indexes and lock-free tables
- Build confidence in your mastery of Azure SQL Database's feature set
Who This Book Is For
Developers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code
Authors and Affiliations
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Redmond, USA
Davide Mauri, Sanjay Mishra
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Legnano, Italy
Silvano Coriani
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Sherman Oaks, USA
Anna Hoffman
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Belgrade, Serbia
Jovan Popovic
About the authors
Silvano Coriani has worked on SQL and other data technologies more than 25 years. He started as an embedded systems developer in industrial automation and moved to data acquisition, processing, and analysis in distributed solutions. He has worked on several RDBMS engines (SQL Server 6.0 and later releases, Oracle, IBM DB2, and more recently PostgreSQL), and on NoSQL and other analytical engines such as Spark and Hadoop. He also has experience in C/C++, Visual Basic, Java, and .NET. He has worked in several industries, including manufacturing, retail, and financial services. Since joining Microsoft in 2003, he has been busy helping ISVs and enterprise customers to learn and adopt Microsoft technologies. His experience includes being Developer Evangelist, Software Engineer in the SQL Customer Advisory Team, and most recently working in SQL Customer Success Engineering for the Azure Data team. He is also an active speaker at industry conferences such as PASS Summit and Microsoft Ignite.
Anna Hoffman is Data & Applied Scientist on the Azure Data team at Microsoft. She has worked in Microsoft Research, AI Engineering, and Microsoft Services in her time at Microsoft. She spent several years working on .NET, Python, R, and Java, to democratize AI via tools and services such as Azure Cognitive Services, Azure Machine Learning, and SQL Server (Machine Learning Services and Big Data Clusters). She now spends most of her time working on the Azure SQL Database product team and participating in the community. She has an undergraduate engineering degree from Georgia Institute of Technology, and she is wrapping up a Master of Science in analytics, also at Georgia Institute of Technology (he is always learning). You can follow her on Twitter at @AnalyticAnna.
Sanjay Mishra is Product Leader in Microsoft Azure Data. He leads product management for the Azure SQL Database team, which includes products such as Azure SQL DB, SQL Hyperscale, Elastic Pools. Prior to this role, he served as Technical Advisor to the VP of Azure Data PM, and led the eminent SQLCAT and DataCAT teams.
Jovan Popovic is Senior Program Manager working on Microsoft SQL Server, Azure SQL Database, and Azure Synapse Analytics. He is working in Microsoft Development Center Serbia as Program Manager on several developer-facing SQL Server/Azure SQL features such as T-SQL language enhancements, JSON/temporal support, columnstore/in-memory technologies, and built-in intelligence. He has more than 15 years of experience in various Microsoft technologies with a focus on SQL Server, Azure, ASP.NET, C#, and JavaScript. He has been working in various Microsoft Data Platform teams since 2012. He is a former Microsoft MVP for ASP.NET and has a PhD degree in software engineering from the University of Belgrade. He is am public speaker at top Microsoft conferences, and is author of several books and open-source projects. He enjoys exploring technologies (especially SQL Server capabilities) and finding the best ways to implement the most efficient solutions using them.
Bibliographic Information
Book Title: Practical Azure SQL Database for Modern Developers
Book Subtitle: Building Applications in the Microsoft Cloud
Authors: Davide Mauri, Silvano Coriani, Anna Hoffman, Sanjay Mishra, Jovan Popovic
DOI: https://doi.org/10.1007/978-1-4842-6370-9
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Davide Mauri, Silvano Coriani, Anna Hoffman, Sanjay Mishra, Jovan Popovic 2021
Softcover ISBN: 978-1-4842-6369-3Published: 06 November 2020
eBook ISBN: 978-1-4842-6370-9Published: 05 November 2020
Edition Number: 1
Number of Pages: XXV, 326
Number of Illustrations: 66 b/w illustrations
Topics: Microsoft and .NET, Database Management