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Database Design and Modeling with Google Cloud

Database Design and Modeling with Google Cloud

By : Sukumaran
4.9 (7)
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Database Design and Modeling with Google Cloud

Database Design and Modeling with Google Cloud

4.9 (7)
By: Sukumaran

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)
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1
Part 1:Database Model: Business and Technical Design Considerations
4
Part 2:Structured Data
8
Part 3:Semi-Structured, Unstructured Data, and NoSQL Design
11
Part 4:DevOps and Databases
13
Part 5:Data to AI

Security, privacy, and encryption

Security and privacy should be a major focus of any type of database design. There are some basic areas that need to be taken into account while choosing the design for databases:

  • Data breaches, loss, and corruption: This includes design considerations to plan and assess your choices for data protection and back-up to prepare for factors such as hardware failure, software errors, human error, or natural disasters.
  • Data privacy: This includes considerations to comply with data privacy regulations such as the General Data Protection Regulation (GDPR).
  • Data security: This includes ensuring your databases and data are secure and encrypted.

Here are some tips for mitigating cloud database security and privacy concerns:

  • Choose a reputable cloud provider: When choosing a cloud provider, it is important to choose one that has a good reputation for security, and is a solution that encrypts your data and dependencies in transit...

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