Home > Resource Center > Document Databases Part 1 – Consolidating Databases

Document Databases Part 1 – Consolidating Databases

Consolidating databases via data modeling is an important step in the database management process for several reasons:

  • Reduce redundancy: Consolidating databases can help eliminate redundant data, which can improve data quality and reduce the risk of errors. By consolidating databases via data modeling, developers can identify duplicate data and create a single source of truth for that data.
  • Improve data access: Consolidating databases can improve data access by providing a unified display of the data. This can be useful in organizations where one spread data across multiple databases, making it difficult to access and analyze.
  • Increase efficiency: Consolidating databases can increase efficiency by reducing the time and resources required to manage multiple databases. By consolidating databases, organizations can reduce the number of servers, storage devices, and other infrastructure components required to support their data.
  • Simplify maintenance: Consolidating databases can simplify maintenance by reducing the number of databases that need to be managed. This can reduce the time and effort required to maintain the databases, freeing up resources for other tasks.
  • Improve security: Consolidating databases can improve security by reducing the number of databases that need to be secured. By consolidating databases, organizations can implement security measures more effectively and ensure that one protected all data.

Watch this video to discover how one can use IDERA’s ER/Studio Data Architect to merge some databases.

ER/Studio Logo
Aligning complex data environments with business goals for over 30 years.
Copyright © 2024 Idera, Inc.