How to Improve Your Database Performance

Your database is the brains of your organization, metaphorically speaking. It’s where you store all the data that drives your business practices. Like a brain, sometimes a database needs to be fine-tuned for maximum performance.

This is especially true in these data-centric times. It is estimated that Big Data is going to be a $77 billion industry by 2023. It’s imperative that our databases perform at peak efficiency if we’re going to be dealing with such a high volume of data.

Here are some tips we’ve put together to help optimize your database performance.

#1: Optimize Database Performance with Queries

Many database performance issues are caused by queries not being performed properly. Even minuscule inefficiencies can become a major deal when you’re potentially dealing with a database with millions of ledger entries.

To help your database perform at peak efficiency and avoid common database performance issues, you should learn how to write subqueries as well as joining existing ones.

#2: Focus On Indexes

Indexes make up the bulk of your database. If a query is the librarian, then indexes are the rows and rows and rows of books that make up a library. And like a library, it’s imperative that your files are indexed in a sensible and efficient way.

Again, even minor issues can become major problems when you’re dealing with large quantities of data. Say your indexing adds an extra millisecond to each database entry. Now imagine you’re database has a billion entries, which is not at all uncommon in the world of Big Data.

That 1 millisecond could add 11 days to your processing time!

#3: Monitor Performance

As we’ve seen in our indexing scenario, little things can become big issues if they’re left unattended. Even a microsecond of performance issues can add minutes of processing time to an operation if you’re dealing with large quantities of data like you’ll find in large databases.

This is a good reason to put a monitoring solution in place if you’re dealing with data in any way. This is true even if you’re not dealing with huge quantities of data yet. In today’s uncertain world, it’s important that our solutions are scalable so we can always stay as flexible and agile as possible.

This means it’s a good idea to put a database monitoring solution in place if you’re going to be using cloud-based services, containers, or microservices. This way you’ve got a monitoring solution in place in case you start using solutions that deal with a lot of data in the future.

If you’ve got more questions about how to make sure your database is running at peak efficiency, you can find more information.

Data is becoming a huge asset in today’s business world. It’s even been called “the new oil” as organizations find new ways to monetize their business data. Making sure your database is running as well as it can is a major part of that process.

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