Cloud Data Design, Orchestration, and Management Using Microsoft Azure
Master and Design a Solution Leveraging the Azure Data Platform
Published on 29. June 2018
Book
Paperback/Softback
XVIII, 438 pages
978-1-4842-3614-7 (ISBN)
Description
Use Microsoft Azure to optimally design your data solutions and save time and money. Scenarios are presented covering analysis, design, integration, monitoring, and derivatives.
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
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
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
More details
Edition
First Edition
Language
English
Place of publication
Berkeley
United States
Target group
Professional and scholarly
Illustrations
302 s/w Abbildungen
XVIII, 438 p. 302 illus.
Dimensions
Height: 254 mm
Width: 178 mm
Thickness: 25 mm
Weight
851 gr
ISBN-13
978-1-4842-3614-7 (9781484236147)
DOI
10.1007/978-1-4842-3615-4
Schweitzer Classification
Other editions
Additional editions
Francesco Diaz | Roberto Freato
Cloud Data Design, Orchestration, and Management Using Microsoft Azure
Master and Design a Solution Leveraging the Azure Data Platform
E-Book
06/2018
APress
€66.99
Available for download
Persons
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.
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.
Content
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.