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Beschreibung
Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure platform. The book shows you which Azure components are best suited to form a strong foundation for data-driven applications in the Microsoft Azure Cloud.
Identify scenarios in which serverless is not the best option available
If you are a solution architect or a decision maker, the conceptual aspects of this book will help you gain a deeper understanding of the underlying technology and its capabilities. You will understand how to develop using Azure Functions, Azure Data Factory, Logic Apps, and to employ serverless databases in your application to achieve the best scalability and design. If you are a developer, you will benefit from the hands-on approach used throughout this book. Many practical examples andarchitectures applied in real-world projects will be valuable to you on your path to serverless success.
What You Will Learn
Know what services are available in Microsoft Azure that can deal with large amounts of data
Design modern data applications based on serverless technology in the cloud
Transform and present data without the use of infrastructure
Employ proven design patterns for rapid implementation of serverless data applications
Choose the correct set of development tools for the services you are using
Understand the term "serverless" and how it can be a benefit
Identify scenarios in which serverless is not the best option available
Who This Book Is For
Architects and decision makers who want to understand how modern architectures are designed and how to modernize their applications. The book is aimed at the developer who needs a steppingstone to quickly implement a serverless data application. And the book is for any IT professional who seeks a head start to serverless computing for data-heavy applications on the Azure platform.
Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using the technologies available on the Azure platform. The book shows you which Azure components are best suited to form a strong foundation for data-driven applications in the Microsoft Azure Cloud.
Identify scenarios in which serverless is not the best option available
If you are a solution architect or a decision maker, the conceptual aspects of this book will help you gain a deeper understanding of the underlying technology and its capabilities. You will understand how to develop using Azure Functions, Azure Data Factory, Logic Apps, and to employ serverless databases in your application to achieve the best scalability and design. If you are a developer, you will benefit from the hands-on approach used throughout this book. Many practical examples andarchitectures applied in real-world projects will be valuable to you on your path to serverless success.
What You Will Learn
Know what services are available in Microsoft Azure that can deal with large amounts of data
Design modern data applications based on serverless technology in the cloud
Transform and present data without the use of infrastructure
Employ proven design patterns for rapid implementation of serverless data applications
Choose the correct set of development tools for the services you are using
Understand the term "serverless" and how it can be a benefit
Identify scenarios in which serverless is not the best option available
Who This Book Is For
Architects and decision makers who want to understand how modern architectures are designed and how to modernize their applications. The book is aimed at the developer who needs a steppingstone to quickly implement a serverless data application. And the book is for any IT professional who seeks a head start to serverless computing for data-heavy applications on the Azure platform.
Über den Autor
¿Dr. Benjamin Kettner is co-founder and CTO of ML!PA Consulting GmbH. Since 2020, he has been a Microsoft Data Platform MVP and a Friend of Red Gate. He received his doctorate in applied mathematics at the Free University of Berlin in 2012. At the time of his doctorate, he was a member of the DFG Research Center Matheon-Mathematics for Key Technologies, and a member of the Computational Nano Optics group at the Zuse Institute Berlin.
Frank Geisler is owner and CEO of GDS Business Intelligence GmbH, a Microsoft Gold Partner in five categories. He is located in Lüdinghausen, in the lovely Münsterland. He is a Data Platform MVP, MCT, MCSE-Business Intelligence, MCSE-Data Platform, MCSE-Azure Solutions Architect, and DevOps Engineer Expert. In his job he is building business intelligence systems based on Microsoft technologies, mainly on SQL Server and Microsoft Azure. He has also a strong focus on Database DevOps.
Zusammenfassung
Teaches rapid development using serverless technology in Microsoft Azure
Shows how to transform and load data at scale in the Azure cloud
Enables you to focus on building solutions and not infrastructure
Inhaltsverzeichnis
Part I. The Basics.- 1. Azure Basics.- 2. Serverless Computing.- 3. Data Driven Applications.- Part II. Hands-On.- 4. Azure Functions.- 5. Logic Apps.- 6. Azure Data Factory.- 7. Database and Storage Options.- 8. IoT Hub, Event Hub, and Streaming Data.- 9. Power BI.- Part III. Design Practices.- 10. Achieving Resiliency.- 11. Queues, Messages, and Commands.- 12. Processing Streams of Data.- 13. Monitoring Serverless Applications.- Part IV. Putting It All Together.- 14. Tools and Helpers.- 15. Data Loading Patterns.- 16. Data Storage Patterns.- 17. Architecture for a Modern Data Driven Application.
Details
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 332 |
| Inhalt: |
xviii
314 S. 125 s/w Illustr. 314 p. 125 illus. |
| ISBN-13: | 9781484280669 |
| ISBN-10: | 1484280660 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Geisler, Frank
Kettner, Benjamin |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 19 mm |
| Von/Mit: | Frank Geisler (u. a.) |
| Erscheinungsdatum: | 13.03.2022 |
| Gewicht: | 0,626 kg |
Über den Autor
¿Dr. Benjamin Kettner is co-founder and CTO of ML!PA Consulting GmbH. Since 2020, he has been a Microsoft Data Platform MVP and a Friend of Red Gate. He received his doctorate in applied mathematics at the Free University of Berlin in 2012. At the time of his doctorate, he was a member of the DFG Research Center Matheon-Mathematics for Key Technologies, and a member of the Computational Nano Optics group at the Zuse Institute Berlin.
Frank Geisler is owner and CEO of GDS Business Intelligence GmbH, a Microsoft Gold Partner in five categories. He is located in Lüdinghausen, in the lovely Münsterland. He is a Data Platform MVP, MCT, MCSE-Business Intelligence, MCSE-Data Platform, MCSE-Azure Solutions Architect, and DevOps Engineer Expert. In his job he is building business intelligence systems based on Microsoft technologies, mainly on SQL Server and Microsoft Azure. He has also a strong focus on Database DevOps.
Zusammenfassung
Teaches rapid development using serverless technology in Microsoft Azure
Shows how to transform and load data at scale in the Azure cloud
Enables you to focus on building solutions and not infrastructure
Inhaltsverzeichnis
Part I. The Basics.- 1. Azure Basics.- 2. Serverless Computing.- 3. Data Driven Applications.- Part II. Hands-On.- 4. Azure Functions.- 5. Logic Apps.- 6. Azure Data Factory.- 7. Database and Storage Options.- 8. IoT Hub, Event Hub, and Streaming Data.- 9. Power BI.- Part III. Design Practices.- 10. Achieving Resiliency.- 11. Queues, Messages, and Commands.- 12. Processing Streams of Data.- 13. Monitoring Serverless Applications.- Part IV. Putting It All Together.- 14. Tools and Helpers.- 15. Data Loading Patterns.- 16. Data Storage Patterns.- 17. Architecture for a Modern Data Driven Application.
Details
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 332 |
| Inhalt: |
xviii
314 S. 125 s/w Illustr. 314 p. 125 illus. |
| ISBN-13: | 9781484280669 |
| ISBN-10: | 1484280660 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: |
Geisler, Frank
Kettner, Benjamin |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 254 x 178 x 19 mm |
| Von/Mit: | Frank Geisler (u. a.) |
| Erscheinungsdatum: | 13.03.2022 |
| Gewicht: | 0,626 kg |
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