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Pro serverless data handling with Mi...

Kettner, Benjamin.

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Pro serverless data handling with Microsoft Azure = architecting ETL and data-driven applications in the cloud /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Pro serverless data handling with Microsoft Azure/ by Benjamin Kettner, Frank Geisler.
其他題名:	architecting ETL and data-driven applications in the cloud /
作者:	Kettner, Benjamin.
其他作者:	Geisler, Frank.
出版者:	Berkeley, CA :Apress : : 2022.,
面頁冊數:	xviii, 314 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer Nature eBook
標題:	Data warehousing. -
電子資源:	https://doi.org/10.1007/978-1-4842-8067-6
ISBN:	9781484280676

Pro serverless data handling with Microsoft Azure = architecting ETL and data-driven applications in the cloud /
Kettner, Benjamin.

Pro serverless data handling with Microsoft Azurearchitecting ETL and data-driven applications in the cloud /[electronic resource] :by Benjamin Kettner, Frank Geisler. - Berkeley, CA :Apress :2022. - xviii, 314 p. :ill., digital ;24 cm.

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.

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. 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.

ISBN: 9781484280676

Standard No.: 10.1007/978-1-4842-8067-6doiSubjects--Topical Terms:

606996
Data warehousing.

LC Class. No.: QA76.9.D37 / K47 2022

Dewey Class. No.: 005.745

Pro serverless data handling with Microsoft Azure = architecting ETL and data-driven applications in the cloud /
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