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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

Designing the solution

To design the solution for the current problem statement, let’s analyze the data points or facts that are available to us right now:

  • The current problem is a batch-based data engineering problem
  • The problem at hand is a data ingestion problem
  • Our source is CSV files containing structured data
  • Our target is a PostgreSQL data warehouse
  • Our data warehouse follows a star schema, with one fact table, two dynamic dimension tables, and three static dimension tables
  • We should choose a technology that is independent of the deployment platform, considering that our solution can be migrated to the cloud in the future
  • For the context and scope of this book, we will explore optimum solutions based on Java-based technologies

Based on the preceding facts, we can conclude that we have to build three similar data ingestion pipelines – one for the fact table and two others for the dynamic dimension tables. At this point, we...

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