Build faster and efficient real-world applications on the cloud with a fitting database model that's perfect for your needs
Key FeaturesIn 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.
What you will learnThis book is for database developers, data engineers, and architects looking to design, model, and build database applications on the cloud with an extended focus on operational consideration and taking their data to AI. Data scientists, as well ML and AI engineers who want to use Google Cloud services in the data to AI journey will also find plenty of useful information in this book. It will also be useful to data analysts and BI developers who want to use SQL impactfully to generate ML and generative AI insights from their data.
Table of Contents"synopsis" may belong to another edition of this title.
Abirami Sukumaran has over 17 years of experience in application development and leadership in the areas of databases, data management, and analytics, across industries, with a few patents filed in the data management and data science areas. She is a lead developer advocate at Google specializing in Google Cloud databases and data to AI services, focusing on developer experience and product excellence enabling developers, practitioners, startups and customers to learn, build, and evolve with Google Cloud.She is pursuing a doctorate in business administration specializing in Machine Learning. She is a certified Yoga instructor/practitioner, blogger, and speaker who enjoys books, movies & learning to become a licensed private pilot.
"About this title" may belong to another edition of this title.
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