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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

Structured query language

SQL is the protocol that’s used to access, query, and interact with data in your RDBMS. It is common because of the simplicity of performing even advanced data operations and analysis. There are a few main forms of SQL:

  • Data Definition Language (DDL): This is a language that lets you define structures and make changes to the schema, tables, constraints, and more. Examples include create, alter, truncate, drop, and rename statements.
  • Data Manipulation Language (DML): This language lets you manipulate data in your database. There are four major operations involved in this – Create, Read, Update, and Delete (CRUD). Examples include insert, update, and delete statements.
  • Data Query: This is a type of statement that lets you query data and extract results for the desired analysis. An example is a select statement.
  • Data Control Language (DCL): This is the language that lets you control access to data in your database in terms of...

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