Cloud Data Design, Orchestration, and Management Using Microsoft Azure
Apress (Verlag)
978-1-4842-3614-7 (ISBN)
This book is about data and provides you with a wide range of possibilities to implement a data solution on Azure, from hybrid cloud to PaaS services. Migration from existing solutions is presented in detail. Alternatives and their scope are discussed. Five of six chapters explore PaaS, while one focuses on SQL Server features for cloud and relates to hybrid cloud and IaaS functionalities.
What You'll Learn
Know the Azure services useful to implement a data solution
Match the products/services used to your specific needs
Fit relational databases efficiently into data design
Understand how to work with any type of data using Azure hybrid and public cloud features
Use non-relational alternatives to solve even complex requirements
Orchestrate data movement using Azure services
Approach analysis and manipulation according to the data life cycle
Who This Book Is For
Software developers and professionals with a good data design background and basic development skills who want to learn how to implement a solution using Azure data services
Francesco Diaz joined Insight in 2015 and is responsible for the cloud solutions & services area for a few countries in the EMEA region. In his previous work experience, Francesco worked at Microsoft for several years, in Services, Partner, and Cloud & Enterprise divisions. He is passionate about data and cloud, and he speaks about these topics at events and conferences. Roberto Freato works as a freelance consultant for tech companies, helping to kick off IT projects, defining architectures, and prototyping software artifacts. He has been awarded the Microsoft MVP award for seven years in a row and has written books about Microsoft Azure. He loves to participate in local communities and speaks at conferences during the year.
1 Working with Azure Database Services Platform.- 2 Working with SQL Server on Hybrid Cloud and Azure IaaS.- 3 Working with NoSQL Alternatives.- 4 Orchestrate Data with Azure Data Factory.- 5 Working with Azure Data Lake Store and Azure Data Lake Analytics.- 6 Working with In-Transit Data and Analytics.
Erscheinungsdatum | 21.07.2018 |
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Zusatzinfo | 302 Illustrations, black and white; XVIII, 438 p. 302 illus. |
Verlagsort | Berkley |
Sprache | englisch |
Maße | 178 x 254 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Mathematik / Informatik ► Informatik ► Programmiersprachen / -werkzeuge | |
Mathematik / Informatik ► Informatik ► Software Entwicklung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Azure Data Factory • Azure SQL Database • Hadoop • HDInsight • machine learning • Microsoft Azure • NoSQL • Relational Database • Spark |
ISBN-10 | 1-4842-3614-9 / 1484236149 |
ISBN-13 | 978-1-4842-3614-7 / 9781484236147 |
Zustand | Neuware |
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