Data migration is a necessary part of any company’s life if they want to grow their business. We often see businesses realizing that their current database doesn’t have the structure and technology to support them for years in the future, so they switch to a new system like Oracle. Read on to learn three Oracle data migration mistakes to avoid.

Underestimating the Necessary Changes

A new database means a lot of changes. Even though there are some similarities across databases, you can’t avoid organizational and procedural differences. To hit the ground running with your new database, you must devote time to understanding how things will be different. Before beginning the migration, you should consider how management processes and support documentation need to change.

Not Enough Training

Just as you must consider changes from a managerial standpoint, you must also consider the differences for your employees. It will take time for your administrators to learn the ins and outs of the new platform, and they’ll need your support. Allow plenty of time for your administrators to become comfortable with new tools, commands, and utilities.

Choosing Big Bang Over Trickle Migration

The two main types of data migration are big bang and trickle migration. While each has some benefits, big bang migration has significant downsides. Essentially, big bang migration involves getting your whole migration process out of the way in one fell swoop. That may sound ideal, but it can leave you with a lot of problems with your data.

Trickle migration allows you to take things slowly, moving one system at a time. With this method, your Oracle data migration proceeds so that you’re able to correct any issues between batches of migration, leading to a more successful overall transition.

Now that you know these three Oracle data migration mistakes to avoid, set yourself up for a successful migration and enjoy your new database!

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