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Title
Pro serverless data handling with Microsoft Azure : architecting ETL and data-driven applications in the cloud / Benjamin Kettner and Frank Geisler.
ISBN
9781484280676 (electronic bk.)
1484280679 (electronic bk.)
9781484280669
1484280660
Published
[New York, NY] : Apress, [2022]
Language
English
Description
1 online resource (317 pages) : illustrations
Other Standard Identifiers
10.1007/978-1-4842-8067-6 doi
Call Number
QA76.9.D37
Dewey Decimal Classification
005.745
Summary
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. 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 and architectures applied in real-world projects will be valuable to you on your path to serverless success.
Note
Includes index.
Access Note
Access limited to authorized users.
Available in Other Form
Print version: 9781484280669
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.
