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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

Creating an architectural decision matrix

Concerning data engineering, an architectural decision matrix is a tool that helps architects evaluate the different architectural approaches with clarity and objectivity. A decision matrix is a grid that outlines the various desirable criteria for making architectural decisions. This tool helps rank different architectural alternatives, based on the score for each criterion. Decision matrices are used by other decision-making processes. For example, decision matrices are used by business analysts to analyze and evaluate their options.

The decision matrix, also known as the Pugh matrix, decision grid, or grid analysis, can be used for many types of decision-making processes. However, it is best suited for scenarios where we have to choose one option among a group of alternatives. Since we must choose one architecture for the recommendation, it makes sense to use a decision matrix to arrive at a conclusion. Now, let’s discuss a step...

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