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.

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Spis treści

Database Design and Modeling with Google Cloud. Learn database design and development to take your data to applications, analytics, and AI eBook -- spis treści

• 1. Data, Databases, and Design
• 2. Handling Data on the Cloud
• 3. Database Modeling for Structured Data
• 4. Setting Up a Fully Managed RDBMS
• 5. Designing an Analytical Data Warehouse
• 6. Designing for Semi-structured Data
• 7. Unstructured Data Management
• 8. DevOps and Databases
• 9. Data to AI – Modeling Your Databases for Analytics and ML
• 10. Looking Ahead – Designing for LLM Applications