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Database Design and Modeling with Google Cloud
By :

Database Design and Modeling with Google Cloud
By:
Overview of this book
In the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently.
The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you’ll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You’ll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples.
By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.
Table of Contents (18 chapters)
Preface
Part 1:Database Model: Business and Technical Design Considerations
Chapter 1: Data, Databases, and Design
Chapter 2: Handling Data on the Cloud
Part 2:Structured Data
Chapter 3: Database Modeling for Structured Data
Chapter 4: Setting Up a Fully Managed RDBMS
Chapter 5: Designing an Analytical Data Warehouse
Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
Chapter 6: Designing for Semi-Structured Data
Chapter 7: Unstructured Data Management
Part 4:DevOps and Databases
Chapter 8: DevOps and Databases
Part 5:Data to AI
Chapter 9: Data to AI – Modeling Your Databases for Analytics and ML
Chapter 10: Looking Ahead – Designing for LLM Applications
Index
Customer Reviews