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The Modern Data Warehouse in Azure
Building with Speed and Agility on Microsoft¿s Cloud Platform
Taschenbuch von Matt How
Sprache: Englisch

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Beschreibung
Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast¿fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business.
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
Build a modern data warehouse on Microsoft's Azure Platform that is flexible, adaptable, and fast¿fast to snap together, reconfigure, and fast at delivering results to drive good decision making in your business.
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
Über den Autor
Matt How is a professional consultant and international conference speaker who is passionate about data, analytics, and automation. Having spoken at several large conferences across the world, he is committed to sharing knowledge and insight with the wider community. Specializing in the design and delivery of modern data warehouse solutions using the Microsoft Azure Platform, Matt focuses on simplicity and resilience above all when designing cloud solutions. With a growing focus on data science, he is now researching techniques to integrate artificial intelligence capabilities into the modern data warehouse at scale.
Zusammenfassung

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

Inhaltsverzeichnis
1. The Rise of the Modern Data Warehouse.- 2. The SQL Engine.- 3. The Integration Engine.- 4. The Ingestion Architecture.- 5. The Role of the Data Lake.- 6. The Role of the Data Contract.- 7. Logging, Auditing, and Resilience.- 8. Using Scripting & Automation.- 9. Beyond the Modern Data Warehouse.
Details
Erscheinungsjahr: 2020
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxii
282 S.
138 s/w Illustr.
282 p. 138 illus.
ISBN-13: 9781484258224
ISBN-10: 1484258223
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: How, Matt
Auflage: 1st ed.
Hersteller: Apress
Apress L.P.
Maße: 254 x 178 x 17 mm
Von/Mit: Matt How
Erscheinungsdatum: 16.06.2020
Gewicht: 0,576 kg
Artikel-ID: 117981978
Über den Autor
Matt How is a professional consultant and international conference speaker who is passionate about data, analytics, and automation. Having spoken at several large conferences across the world, he is committed to sharing knowledge and insight with the wider community. Specializing in the design and delivery of modern data warehouse solutions using the Microsoft Azure Platform, Matt focuses on simplicity and resilience above all when designing cloud solutions. With a growing focus on data science, he is now researching techniques to integrate artificial intelligence capabilities into the modern data warehouse at scale.
Zusammenfassung

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

Inhaltsverzeichnis
1. The Rise of the Modern Data Warehouse.- 2. The SQL Engine.- 3. The Integration Engine.- 4. The Ingestion Architecture.- 5. The Role of the Data Lake.- 6. The Role of the Data Contract.- 7. Logging, Auditing, and Resilience.- 8. Using Scripting & Automation.- 9. Beyond the Modern Data Warehouse.
Details
Erscheinungsjahr: 2020
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxii
282 S.
138 s/w Illustr.
282 p. 138 illus.
ISBN-13: 9781484258224
ISBN-10: 1484258223
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: How, Matt
Auflage: 1st ed.
Hersteller: Apress
Apress L.P.
Maße: 254 x 178 x 17 mm
Von/Mit: Matt How
Erscheinungsdatum: 16.06.2020
Gewicht: 0,576 kg
Artikel-ID: 117981978
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