9 Common Database Management Challenges and How to Fix Them
Picking a suitable database can be challenging, given that there are many options available today. However, more and more businesses worldwide are becoming reliant on data when operating their day-to-day operations and making educated business decisions.
With plenty of data being created, it becomes challenging to manage data dispersed across various geolocations and several business line applications.
In this post, we’ll walk you through some of the most common data management challenges, as well as how you can solve them:
1. Managing scalability as data volume increases
As data grows by 63% per month, most companies don’t have their databases set up to scale effectively.
Some different tools and apps deliver more extensive datasets into databases, but there’s also a likelihood wherein data is frequently updated and queried. As these queries become increasingly complex and your data more distributed, you’ll define more relationships between your data. Most relational databases aren’t often designed to support all of these factors.
All organizations need to consider whether you’ll be using the data they’ll be storing. You must develop retention policies to decrease the amount of information you’re keeping as you scale.
For instance, you can reduce the amount of data you store by removing transient data on permanent storage, which will allow you to create better leverage on the available storage you have.
2. Maintaining database performance
Slow database performance is inconvenient for your team, but it also stalls applications and impacts end-users. Offering your employees and customers the best experience is essential. That’s why you must solve these database performances quickly.
Caching to a remote host is one of the best solutions to support scaling your databases that don’t need to be updated regularly. It’s an excellent way to offload the database, especially if some of your data needs to be accessed on a read-only mode.
In the same way, you should also work on improving query performance. It might involve developing indexes that allow you to retrieve data efficiently.
To some, it may also include leveraging more skilled employees that have more experience working with databases. If you fail at this, inexperienced users may have unexpected performance bottlenecks. Getting the proper database management support is essential to overcoming these unexpected challenges.
3. Multiple data storage
Multiple data storages are one of the most significant challenges most businesses encounter. Big organizations may develop tens of business solutions with their data repository like CRM, ERP, databases, etc.
Having multiple data storage poses a significant barrier that needs to be addressed to evaluate and handle it. Now, if data is placed in separate siloed systems, it’s hard to identify and consolidate in a universal data platform which will speed up data-driven choices.
Therefore, make sure you come up with a single source of truth for your data. The principal focus of your organization is to get rid of data silos and link data from consumers, products, and suppliers.