Application & Database Modernization IBM i

     In today’s fast-paced world, businesses are constantly looking for ways to streamline their operations and increase efficiency. One area that has seen significant advancement in recent years is database modernization. This innovative approach to software development is designed to help organizations bring their systems up to date and compete.

What is Application & Database Modernization?

     Database modernization implies updating an organization’s existing software systems to take advantage of data-centric technologies. This involves a combination of code and database refactoring, to create a more efficient and competitive software infrastructure that is better suited to meet the changing needs of businesses.

Benefits of Database Modernization

     There are many benefits to modernizing an organization’s code database. Some of the most important include:

  • Increased efficiency: By taking advantage of the functionality built. into DB2 (trigger programs & constraints).
  • Degrease maintenance & testing effort: No need to check the constraints the old fashion way when the operating system does it for you and secondly when the business logic is consolidated in the database with trigger programs there is no need to repeat it every time you write a new program. This will result in less coding and less testing over time.
  • Increased competitiveness: By adopting modern software development practices, organizations can stay ahead of the curve and remain competitive in their respective industries.
  • Better security: With updated software systems, organizations can take advantage of the latest security features and technologies, reducing the risk of data breaches and other security-related issues.
  • Performance: Because triggers and constraints run in the operating systems storage pool they are faster

The Process of Application & Database Modernization

     The process of application & database modernization involves several key steps:

  1. Assessment: The first step in the code database modernization process is to assess the existing systems to determine what needs to be updated and how.

  2. Code refactoring: Once the systems have been assessed, the next step is to refactor the existing code to make it more efficient.

  3. Database migration: This step involves migrating the existing database to a modern platform, such as a cloud-based solution.

  4. Testing: Once the code has been refactored and the database migrated, the final step is to test the updated systems to ensure that they are working correctly.

The Future of Database Modernization

     As technology continues to evolve, database modernization will become increasingly important for organizations of all sizes. By staying ahead of the curve and adopting modern software development practices, organizations can remain competitive and achieve their goals more effectively.

Conclusion

Code database modernization is a critical component of any software development strategy. By updating existing systems to take advantage of modern technologies, organizations can improve efficiency and become more competitive and improve security. With the right approach and tools, the future of code database modernization on the IBM i is bright and full of opportunities.

Referential Constraints IBM i

Benifits of using Referential Constraints IBM i

Accuracy – prevent orphaned records by letting the RDBMS validate the parent/child relationships between tables 

Performance  – RDBMS runs in the operating system storage pool and provides excellent performance

Functionality- The functionality provided by the constraints is all functionality that need not be performed in the programs, resulting in less coding and testing 

 

DB2 Relational Database Components IBM i

Overview of the Components that makeup DB2 on the IBM i

DB2 comes with some very powerful features

Performance – RDBMS (Relational Database Management System)  runs in the operating system storage pool. Therefore constraints and trigger programs become prioritized

Reduce Coding effort – RDBMS will enforce constraints negating the need to do so in the programs That mean’s not having to declare various master files in the programs used to verify data. That has a trickle-down effect on testing and maintenance. 

Trigger Programs. Consolidate all the validation rules in one place. Do it once in a file trigger and you no longer have to do it in multiple programs. Once again there is a trickle-down effect on testing and maintenance.

I/O servers while not strictly part of RDBMS, complement the Relational Database by establishing a border between the application and the database