Database Design and Modeling with Google Cloud (eBook, ePUB) - Sukumaran, Abirami
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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…mehr

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Produktbeschreibung
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.

Autorenporträt
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.