Cloud Data Design, Orchestration, and Management Using Microsoft Azure

Master and Design a Solution Leveraging the Azure Data Platform

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing, Programming
Cover of the book Cloud Data Design, Orchestration, and Management Using Microsoft Azure by Francesco Diaz, Roberto Freato, Apress
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Francesco Diaz, Roberto Freato ISBN: 9781484236154
Publisher: Apress Publication: June 28, 2018
Imprint: Apress Language: English
Author: Francesco Diaz, Roberto Freato
ISBN: 9781484236154
Publisher: Apress
Publication: June 28, 2018
Imprint: Apress
Language: English

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

  • 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

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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

More books from Apress

Cover of the book Chief Marketing Officers at Work by Francesco Diaz, Roberto Freato
Cover of the book MySQL for the Internet of Things by Francesco Diaz, Roberto Freato
Cover of the book Reasonably Simple Economics by Francesco Diaz, Roberto Freato
Cover of the book Exporting by Francesco Diaz, Roberto Freato
Cover of the book Traders at Work by Francesco Diaz, Roberto Freato
Cover of the book Magento 1 DIY by Francesco Diaz, Roberto Freato
Cover of the book Expert ASP.NET Web API 2 for MVC Developers by Francesco Diaz, Roberto Freato
Cover of the book University Startups and Spin-Offs by Francesco Diaz, Roberto Freato
Cover of the book Introducing Maven by Francesco Diaz, Roberto Freato
Cover of the book Pro Salesforce Analytics Cloud by Francesco Diaz, Roberto Freato
Cover of the book R Recipes by Francesco Diaz, Roberto Freato
Cover of the book Good Habits for Great Coding by Francesco Diaz, Roberto Freato
Cover of the book Spring Recipes by Francesco Diaz, Roberto Freato
Cover of the book Beginning COBOL for Programmers by Francesco Diaz, Roberto Freato
Cover of the book Unite the Tribes by Francesco Diaz, Roberto Freato
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy