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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

Serverless patterns for data ingestion

We will start by answering the question, What is serverless computing? Serverless computing is a cloud execution model in which a cloud provider takes care of allocating resources such as storage and compute based on demand while taking care of the servers on behalf of customers. Serverless computing removes the burden of maintaining and managing servers and resources associated with it. Here, the customers of serverless computing don’t care how and where the jobs or applications are running. They just focus on the business logic and let the cloud provider take care of managing the resources for running and executing that code. A few examples of serverless computing are as follows:

  • AWS Lambda Function or Azure Function: This is used to run any application or service
  • AWS Glue: This is used to run big data-based ETL jobs
  • AWS Kinesis: This is a serverless event streaming and analytics platform

Although there are many...

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