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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

Performance engineering and planning

Software performance engineering (SPE) is a systematic and quantitative software-based approach to designing, architecting, and implementing solutions optimally to meet various non-functional requirements (NFRs) such as performance, capacity, scalability, availability, and reliability. Earlier in this book, we dealt with scalability, availability, and reliability. In this chapter, we will focus on performance and capacity. Alternatively, SPE is defined as a proactive and continuous process of performance testing and monitoring. It involves different stakeholders such as testers, developers, performance engineers, business analysts, and architects. As we will discuss later in this chapter, performance engineering is a seamless process that runs in parallel with development activities, providing a continuous feedback loop to the developers and architects so that performance requirements are imbibed while the software is developed.

Now that we...

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