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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

Comparing real-world applications of LLMs and traditional analytics

To understand the applications of LLMs in the real world, let’s do a comparative study of the applications of LLMs with traditional analytics systems.

Here are some examples of traditional analytical applications:

  • Customer segmentation is the process of dividing customers into groups based on their shared characteristics. This can be done to target marketing campaigns or to develop new products and services.
  • Risk assessment is the process of identifying and assessing the potential risks to an organization. This can be done to develop mitigation strategies or to make informed decisions.
  • Fraud detection is the process of identifying and preventing fraudulent transactions. This is implemented to protect users and reduce financial losses.

Now, let’s discuss some real-world LLM-based applications:

  • Chatbots are computer programs that can simulate conversations with humans....

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