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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

Enabling Data Security and Governance

In the preceding chapters, we learned how to evaluate requirements and analyze and apply various architectural patterns to solve both real-time and batch-based problems. We learned how to choose the optimal technical stack and develop, deploy, and execute the proposed solution. We also discussed various popular architectural patterns for data ingestion. However, any discussion about data architecture is incomplete without mentioning data governance and data security. In this chapter, we will focus on understanding and applying data governance and security in the data layer.

In this chapter, we will first discuss what data governance is, and why it is so important. We will also briefly discuss a few open source data governance tools that are available on the market. Then, we will practically demonstrate a data governance implementation by adding a data governance layer to a data ingestion pipeline. The data ingestion pipeline ID will be developed...

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