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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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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

Practical data governance using DataHub and NiFi

In this section, we will discuss a tool called DataHub and how different data stakeholders and stewards can make use of it to enable better data governance. But first, we will understand the use case and what we are trying to achieve.

In this section, we will build a data governance capability around a data ingestion pipeline. This data ingestion pipeline will fetch any new objects from an S3 location, enrich them, and store the data in a MySQL table. In this particular use case, we are getting telephone recharge or top-up events in an S3 bucket from various sources such as mobile or the web. We are enriching this data and storing it in a MySQL database using an Apache NiFi pipeline.

Apache NiFi is a powerful and reliable drag-and-drop visual tool that allows you to easily process and distribute data. It creates directed graphs to create a workflow or a data pipeline. It consists of the following high-level components so that...

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