Cloud Data Design, Orchestration, and Management Using Microsoft Azure

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Cloud Data Design, Orchestration, and Management Using Microsoft Azure Front Cover

Cloud Data Design, Orchestration, and Management Using Microsoft Azure

by Francesco Diaz, Roberto Freato
  • Length: 438 pages
  • Edition: 1st ed.
  • Publisher: Apress
  • Publication Date: 2018-08-26
  • ISBN-10: 1484236149
  • ISBN-13: 9781484236147
  • Sales Rank: #3205254 (See Top 100 Books)
Description

Cloud Data Design, Orchestration, and Management Using Microsoft Azure: Master and Design a Solution Leveraging the Azure Data Platform

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

Table of Contents

Chapter 1: Working with Azure Database Services Platform
Chapter 2: Working with SQL Server on Hybrid Cloud and Azure IaaS
Chapter 3: Working with NoSQL Alternatives
Chapter 4: Orchestrate Data with Azure Data Factory
Chapter 5: Azure Data Lake Store and Azure Data Lake Analytics
Chapter 6: Working with In-Transit Data and Analytics

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