Overview
- Provides you with a process for building a complete data warehouse solution in Azure
- Shares key accelerators for implementation from the author’s personal experience
- Teaches you how to implement data contracts and metadata management
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
Gone are the days when data warehousing projects were lumbering dinosaur-style projects that took forever, drained budgets, and produced business intelligence (BI) just in time to tell you what to do 10 years ago. This book will show you how to assemble a data warehouse solution like a jigsaw puzzle by connecting specific Azure technologies that address your own needs and bring value to your business. You will see how to implement a range of architectural patterns using batches, events, and streams for both data lake technology and SQL databases. You will discover how to manage metadata and automation to accelerate the development of your warehouse while establishing resilience at every level. And you will know how to feed downstream analytic solutions such as Power BI and Azure Analysis Services to empower data-driven decision making that drives your business forward toward a pattern of success.
This book teaches you how to employ the Azure platform in a strategy to dramatically improve implementation speed and flexibility of data warehousing systems. You will know how to make correct decisions in design, architecture, and infrastructure such as choosing which type of SQL engine (from at least three options) best meets the needs of your organization. You also will learn about ETL/ELT structure and the vast number of accelerators and patterns that can be used to aid implementation and ensure resilience. Data warehouse developers and architects will find this book a tremendous resource for moving their skills into the future through cloud-based implementations.
What You Will Learn
- Choose the appropriate Azure SQL engine for implementing a given data warehouse
- Develop smart, reusable ETL/ELT processes that are resilient and easily maintained
- Automate mundane development tasks through tools such as PowerShell
- Ensure consistency of data by creating and enforcing data contracts
- Explore streaming and event-driven architectures for data ingestion
- Create advanced staging layers using Azure Data Lake Gen 2 to feed your data warehouse
Who This Book Is For
Data warehouse or ETL/ELT developers who wish to implement a data warehouse project in the Azure cloud, and developers currently working in on-premise environments who want to move to the cloud, and for developers with Azure experience looking to tighten up their implementation and consolidate their knowledge
Authors and Affiliations
About the author
Bibliographic Information
Book Title: The Modern Data Warehouse in Azure
Book Subtitle: Building with Speed and Agility on Microsoft’s Cloud Platform
Authors: Matt How
DOI: https://doi.org/10.1007/978-1-4842-5823-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Matt How 2020
Softcover ISBN: 978-1-4842-5822-4Published: 16 June 2020
eBook ISBN: 978-1-4842-5823-1Published: 15 June 2020
Edition Number: 1
Number of Pages: XXII, 282
Number of Illustrations: 138 b/w illustrations
Topics: Microsoft and .NET, Database Management