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Database Design and Modeling with Google Cloud

You're reading from  Database Design and Modeling with Google Cloud

Product type Book
Published in Dec 2023
Publisher Packt
ISBN-13 9781804611456
Pages 234 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Abirami Sukumaran Abirami Sukumaran
Profile icon Abirami Sukumaran

Table of Contents (18) Chapters

Preface 1. Part 1:Database Model: Business and Technical Design Considerations
2. Chapter 1: Data, Databases, and Design 3. Chapter 2: Handling Data on the Cloud 4. Part 2:Structured Data
5. Chapter 3: Database Modeling for Structured Data 6. Chapter 4: Setting Up a Fully Managed RDBMS 7. Chapter 5: Designing an Analytical Data Warehouse 8. Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
9. Chapter 6: Designing for Semi-Structured Data 10. Chapter 7: Unstructured Data Management 11. Part 4:DevOps and Databases
12. Chapter 8: DevOps and Databases 13. Part 5:Data to AI
14. Chapter 9: Data to AI – Modeling Your Databases for Analytics and ML 15. Chapter 10: Looking Ahead – Designing for LLM Applications 16. Index 17. Other Books You May Enjoy

Google Cloud Dataflow at a glance

Google Cloud Dataflow is a powerful and fully managed service for executing ETL pipelines. It allows developers to focus on data processing logic without worrying about infrastructure management. Dataflow offers a unified programming model based on Apache Beam, enabling consistent ETL development across batch and streaming data processing scenarios.

The key features of Google Cloud Dataflow are as follows:

  • Scalability: Dataflow automatically scales resources based on the input data size and processing requirements. It can handle data processing tasks ranging from small to petabyte-scale datasets, ensuring efficient ETL operations without the need for manual resource provisioning.
  • Fault tolerance: Dataflow ensures fault tolerance by automatically recovering from failures and providing reliable data processing. It divides the input data into small, parallelizable chunks and distributes them across multiple compute resources. In case of...
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