Modern Data Architecture on Azure : Design Data-centric Solutions on Microsoft Azure / by Sagar Lad.

Format:

Book

Author/Creator:

Lad, Sagar.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Microsoft software.

Microsoft .NET Framework.

Microsoft.

Local Subjects:

Microsoft.

Physical Description:

1 online resource (216 pages)

Edition:

1st ed. 2023.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2023.

Summary:

This book is an exhaustive guide to designing and implementing data solutions on Azure. It covers the process of managing data from end to end, starting from data collection all the way through transformation, distribution, and consumption. Modern Data Architecture on Azure begins with an introduction to the fundaments of data management, followed by a demonstration of how to build relational and non-relational data solutions on Azure. Here, you will learn data processing for complex analysis and how to work with CSV and JSON files. Moving forward, you will learn the foundational concepts of big data architecture, along with data management patterns and technology options offered by Azure. From there, you’ll be walked through the data architecture process, including data consortium on Azure, enterprise data governance, and much more. The book culminates with a deep dive into data architecture frameworks with data modeling. After reading this book, you will have a thorough understanding of data design and analytics using Azure, allowing you to collect and analyze massive amounts of data to optimize business performance, forecast future results, and more. You will: Understand the fundamentals of data architecture including data management, data handling ethics, data governance, and metadata management Analyze and understand business needs to choose the right Azure services and make informed business decisions Understand Azure Cloud Data design patterns for relational and non-relational data, batch real-time processing, and ETL/ELT pipelines Modernize data architecture using Azure to leverage data and AI to enable digital transformation by securing and optimizing overall data lifecycle management.

Contents:

Chapter 1: Introduction: Fundamentals of Data Management

Chapter 2: Build Relational & Non-Relational Data Solutions on Azure

Chapter 3: Building a Big Data Architecture

Chapter 4: Data Management Patterns & Technology Choices with Azure

Chapter 5: Data Architecture Process

Chapter 6: Data Architecture Framework Explained.

Notes:

Includes index.

Description based on publisher supplied metadata and other sources.

ISBN:

9781484297605

1484297601

OCLC:

1409494545