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How to Design a Logical Database in Oracle 19c

Oracle 19c is the latest version of Oracle Database, and it includes a number of new features that can help you design more efficient and effective logical databases.

In this blog post, we will discuss the basics of logical database design, and we will show you how to use some of the new features in Oracle 19c to improve your designs.

What is a Logical Database?

A logical database is a representation of the data in a physical database. It is a collection of tables, views, and other objects that are related to each other.

The logical database is the way that users interact with the data in the physical database. It is important to design the logical database carefully to ensure that it is easy to use and that it meets the needs of the users.

Designing a Logical Database in Oracle 19c

There are a number of things to consider when designing a logical database in Oracle 19c. Some of the most important factors include:

  • The needs of the users
  • The data that will be stored in the database
  • The performance requirements
  • The security requirements

Using New Features in Oracle 19c to Improve Logical Database Design

Oracle 19c includes a number of new features that can help you improve your logical database design. Some of the most important features include:

  • In-Memory Tables: In-memory tables can improve performance by storing data in memory instead of on disk.
  • Columnar Storage: Columnar storage can improve performance by storing data in columns instead of rows.
  • Data Compression: Data compression can improve performance by reducing the amount of data that needs to be stored and processed.
  • Data Partitioning: Data partitioning can improve performance by dividing data into smaller, more manageable pieces.

Conclusion

Oracle 19c includes a number of new features that can help you design more efficient and effective logical databases. By using these features, you can improve the performance, security, and usability of your databases.

Here are some additional tips for designing a logical database in Oracle 19c:

  • Use a logical data model to represent the data in your database.
  • Use normalization to reduce redundancy and improve data integrity.
  • Use indexes to improve performance of queries.
  • Use constraints to enforce data integrity.
  • Use views to provide users with a simplified view of the data.
  • Use stored procedures to encapsulate complex data manipulation logic.
  • Use triggers to automate data-driven actions.

By following these tips, you can design logical databases that are efficient, secure, and easy to use.



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