Microsoft Azure Data Solutions – An Introduction

Description

Daniel A. Seara is an experienced software developer. He has more than 20 years as a technical instructor, developer, and development consultant. Daniel has worked as a software consultant in a wide range of companies in Argentina, Spain, and Peru. He has been asked by Peruvian Microsoft Consulting Services to help several companies in their migration path to .NET development. Daniel was Argentina’s Microsoft regional director for four years and was the first nominated global regional director, a position he held for two years. He also was the manager of the Desarrollador Cinco Estrellas I (Five Star Developer) program, one of the most successful training projects in Latin America. Daniel held Visual Basic MVP status for more than 10 years, as well as SharePoint Server MVP status from 2008 until 2014. Additionally, Daniel is the founder and “dean” of Universidad. NET, the most-visited Spanish-language site to learn .NET. In 2005, he joined Lucient, the leading global company on the Microsoft Data Platform, where he has been working as a trainer, consultant, and mentor.

Francesco Milano has been working with Microsoft technologies since 2000. Francesco specializes in the .NET Framework and SQL Server platform, and he focuses primarily on back-end development, integration solutions, and relational model design and implementation. He is a regular speaker at top Italian data platform conferences and workshops. Since 2013, Francesco has also explored emerging trends and technologies pertaining to big data and advanced analytics, consolidating his knowledge of products like HDInsight, Databricks, Azure Data Factory, and Azure Synapse Analytics. In 2015, Francesco joined Lucient, the leading global company on the Microsoft Data Platform, where he has been working as a trainer, consultant, and mentor.

Danilo Dominici is an independent consultant, trainer, and speaker, with more than 20 years of experience with relational databases and software development in both Windows and *nix environments. He has specialized in SQL Server since 1997, helping customers design, implement, migrate, tune, optimize, and build HA/DR solutions for their SQL Server environments. Danilo has been a Microsoft Certified Trainer since 2000. He works as a trainer for the largest Microsoft learning partners in Italy, teaching SQL Server and Windows server courses. He is also a regular contributor and speaker at community events in Italy and is the co-leader of PASS Global Italian Virtual Chapter, the Italian-speaking virtual group. For his commitment, Microsoft has recognized Danilo as a Data Platform MVP since 2014. Danilo was a SQL Server and PostgreSQL DBA and a VMWare administrator in Regione Marche, a local government organization in Italy, from 2004 to 2017. Later he became a DBA and a web developer within the Polytechnic University of Marche. Danilo has been part of Lucient since 2011.

Discover and apply the Azure platform’s most powerful data solutions

Cloud technologies are advancing at an accelerating pace, supplanting traditional relational and data warehouse storage solutions with novel, high-value alternatives. Now, three pioneering Azure Data consultants offer an expert introduction to the relational, non-relational, and data warehouse solutions offered by the Azure platform. Drawing on their extensive experience helping organizations get more value from the Microsoft Data Platform, the authors guide you through decision-making, implementation, operations, security, and more. Throughout, step-by-step tutorials and hands-on exercises prepare you to succeed, even if you have no cloud data experience.

Three leading experts in Microsoft Azure Data Solutions show how to:

• Master essential concepts of data storage and processing in cloud environments
• Handle the changing responsibilities of data engineers moving to the cloud
• Get started with Azure data storage accounts and other data facilities
• Walk through implementing relational and non-relational data stores in Azure
• Secure data using the least-permissions principle, Azure Active Directory, role-based access control, and other methods
• Develop efficient Azure batch processing and streaming solutions
• Monitor Azure SQL databases, blob storage, data lakes, Azure Synapse Analytics, and Cosmos DB
• Optimize Azure data solutions by solving problems with storage, management, and service interactions

Cloud technologies are advancing at an accelerating pace, supplanting traditional relational and data warehouse storage solutions with novel, high-value alternatives. In this book three pioneering Microsoft Azure Data consultants offer an expert introduction to the relational, non-relational, and data warehouse solutions offered by the Azure platform. Drawing on their extensive experience helping organizations get more value from the Microsoft Data Platform, the authors guide students through decision-making, implementation, operations, security, and more. Throughout, step-by-step tutorials and hands-on exercises prepare them to succeed, even if they have no cloud data experience.

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