Now, let's talk about the exciting part – LQE Relational Store, or LQE rs. It's like a new way to store and get data for reports. You don't have to use it, but if you do, it can make things faster and better.

3.) LQE RS Architecture comparison for new and old customers

1. Needs less computer power: LQE rs doesn't need as much computer power, especially RAM.
2. Handles more data: It's good with big sets of data, making it easier to handle.
3. Less chance of report problems: Reports keep running smoothly because you don't need to do some tasks every week.
4. Can grow bigger: You can make it even bigger if you need more space.

1. 1. Reports work similar: Most reports work the same way, but some might take a bit longer.
   2. Smaller computer needs: You don't need a super big computer; even one with less RAM can do the job.
   3. Waiting for reports: Sometimes, when you want many reports at once, you might have to wait a bit longer.
   4. LQE rs vs Old way: LQE rs is a new way of doing things. Some reports might look a bit different, but it's okay.

Changing to LQE rs isn’t too hard:

1. Good things stay: Reports you already made work fine.
2. Some things need help: If a report has special stuff, we might need to fix it a bit.
3. Getting ready for reports: Before making or checking a report, we can use special tools to see if everything is ready.

1. Now, if you ever get stuck or things don't look right, you have new tools to help us figure out what's wrong. You can run special tests and make sure the data you need is there.

1. If you want to try these new things, here are the steps:

   1. Getting ready: First, get everything ready in your test place.
   2. Upgrading: Make your test place like the new version.
   3. Installing new things: Download and put in new tools for making reports.
   4. Starting the computer stuff: Turn on the things that make all of this work.

1. Your computers need a bit more power for these new things:

   1. For making reports: Around 16GB RAM, 8 vCPUs, and 500GB space.
   2. For LQE rs: About 32GB RAM, 8 vCPUs, and 500GB space.
   3. For the database: If you're using something like Db2 or Oracle, you need 64GB RAM, 16 vCPUs, and enough space.

1. Some things might not work the same with LQE rs:

   1. Only Db2 and Oracle: LQE rs works with only Db2 and Oracle on Windows or Linux.
   2. No more Derby database: You can't use Derby anymore for LQE rs. But that's okay.
   3. Be patient with big data: If we have lots of data, it might take a bit more time.

1. IBM ELM 7.0.3 makes our reporting life simpler. The new Report Builder has a new look, and LQE rs is good for handling data. If you ever feel confused, there are tools to help you. Remember, changes are fine, and it's okay to ask for help. Have a good time reporting!

1. Resources

   https://jazz.net/wiki/bin/view/Deployment/LQERSDatabaseSizing

   https://jazz.net/wiki/bin/view/Deployment/LQErs703Performance

   https://www.ibm.com/docs/en/engineering-lifecycle-management-suite/lifecycle-management/7.0.3?topic=administering-lqe-admin-query-diagnostic-tab-functions

   https://www.ibm.com/docs/en/engineering-lifecycle-management-suite/lifecycle-management/7.0.3?topic=administering-installing-enabling-lqe-relational-store

   https://www.ibm.com/docs/en/engineering-lifecycle-management-suite/lifecycle-management/7.0.3?topic=administering-system-requirements-lqe-relational-store

   https://www.ibm.com/docs/en/engineering-lifecycle-management-suite/lifecycle-management/7.0.3?topic=arrb-checking-preparing-report-query-results-comparison-from-lqe-relational-store

   https://www.ibm.com/docs/en/engineering-lifecycle-management-suite/lifecycle-management/7.0.3?topic=builder-limitations-lqe-relational-store