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Scalable Data Architecture with Java

You're reading from   Scalable Data Architecture with Java Build efficient enterprise-grade data architecting solutions using Java

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Product type Paperback
Published in Sep 2022
Publisher Packt
ISBN-13 9781801073080
Length 382 pages
Edition 1st Edition
Languages
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Author (1):
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Sinchan Banerjee Sinchan Banerjee
Author Profile Icon Sinchan Banerjee
Sinchan Banerjee
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1 – Foundation of Data Systems
2. Chapter 1: Basics of Modern Data Architecture FREE CHAPTER 3. Chapter 2: Data Storage and Databases 4. Chapter 3: Identifying the Right Data Platform 5. Section 2 – Building Data Processing Pipelines
6. Chapter 4: ETL Data Load – A Batch-Based Solution to Ingesting Data in a Data Warehouse 7. Chapter 5: Architecting a Batch Processing Pipeline 8. Chapter 6: Architecting a Real-Time Processing Pipeline 9. Chapter 7: Core Architectural Design Patterns 10. Chapter 8: Enabling Data Security and Governance 11. Section 3 – Enabling Data as a Service
12. Chapter 9: Exposing MongoDB Data as a Service 13. Chapter 10: Federated and Scalable DaaS with GraphQL 14. Section 4 – Choosing Suitable Data Architecture
15. Chapter 11: Measuring Performance and Benchmarking Your Applications 16. Chapter 12: Evaluating, Recommending, and Presenting Your Solutions 17. Index 18. Other Books You May Enjoy

Federated and Scalable DaaS with GraphQL

In the previous chapter, we discussed how to publish ingested data in a format that is platform- and language-agnostic using the REST API. We also learned how to design and develop a Data as a Service (DaaS) layer using the REST API, as well as how to containerize and deploy the application on AWS ECS. Then, we learned what an API management system is and how it can help monitor and manage APIs more efficiently. Finally, we learned how to create an API management layer on top of our REST DaaS application using Amazon API Gateway.

In this chapter, we will learn how to implement DaaS using GraphQL instead of REST. To do so, we will learn what GraphQL is, and why and when it should be used. We will explore the benefits and shortcomings that GraphQL has concerning REST while discussing the various architectural patterns available for GraphQL-based solutions. Finally, we will learn about the power of federation in the GraphQL layer. By the end...

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