December 2023
Intermediate to advanced
234 pages
5h 40m
English
Overview
Delve into the world of database design and development while leveraging Google Cloud's state-of-the-art services. This book offers detailed guides, examples, and structured learning to help you create efficient database models for applications, analytics, and AI. Whether you're handling structured, semi-structured, or unstructured data, you'll gain practical expertise applicable to various use cases.
What this Book will help me do
- Understand how to analyze business and technical requirements to model efficient databases.
- Learn the differences between structured, semi-structured, and unstructured data and their applications.
- Master using Google Cloud tools such as Cloud SQL, Spanner, and BigQuery for database management.
- Develop scalable and secure database solutions suitable for AI and ML applications.
- Design end-to-end database systems while considering operational aspects like observability and performance.
Author(s)
None Sukumaran is an experienced database professional with a vast knowledge of designing and implementing data systems in cloud environments. Leveraging his expertise, he guides readers through the nuances of database modeling and operational considerations. His clear and structured teaching style ensures readers gain practical skills applicable to real-world challenges.
Who is it for?
This book is ideal for database developers, data engineers, and architects aiming to create advanced database systems. If you're a data scientist, AI or ML engineer exploring database integrations with AI workflows on Google Cloud, this book is tailored for you. Data analysts and BI professionals seeking to harness AI-driven insights will also gain valuable skills. Begin your journey towards mastering database design with this comprehensive guide.
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