Companies worldwide are turning to data to make informed business decisions and handle daily operations. Data collected over time provides valuable insights and real-time intelligence that helps management and leadership teams make calculated predictions in driving businesses forward.
By leveraging the power of data, organisations all over can unlock infinite possibilities. But, with a colossal amount of data being created and used daily, managing data spread over varied geographic locations and businesses can become challenging. Organisations must invest in robust database management systems to overcome data-related hurdles effectively.
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5 database management challenges and how to fix them
1. The increasing data volume: We recently learned from Seed Scientific that the amount of data generated each day is expected to reach 463 exabytes globally by 2025. The more data is collected, the harder it becomes to monitor, validate, and ultimately manage. An excellent way to handle large volumes of data is to keep raw data raw and not manipulate it without making a copy. Store data in spaces that create automatic backups and actively look for storage options that cost less storage money.
2. Inconsistent database performance: Maintaining database performance is one of the most prominent challenges organisations face with data. Often, database performance problems arise out of inefficient SQL queries. To fight this, start by optimising SQL queries. Other ways to improve database performance are by improving indexes and defragmenting data. Many opt for caching as their go-to solution for databases that don’t require to be updated regularly or are accessed in a read-only mode.
3. Data security: The first step is locating, identifying, and segregating sensitive data from the rest. Next, classify data by following the various data classification methods available to you. This helps in securing information with apt data protection levels. Encrypt the database and ensure the infrastructure is robust with operating systems, network hardware, and on-premise and cloud software—train staff to fight detrimental situations and control access to data.
4. Multiple data storage options: It may seem counterintuitive, but there may be better ways to manage a database than having many data storage facilities. With massive volumes of data stored in separate systems and storage options, it becomes challenging to consolidate all the data available in one universal data platform. Having a single storage system helps speed up data-driven decision-making processes. Identify and set up a single source for all your data and eliminate as many data silos as possible.
5. Data integration: When dealing with a small volume of data, database management can be a walk in the park. However, as companies continue to scale, so will their databases, bringing a new host of challenges. Suddenly, you’re scrambling to handle large volumes of data. Lucky for you, it’s 2022, and specific software is created for data integration. It helps integrate data from various sources from the many services you offer.
It’s safe to say that without data, organisations worldwide would have difficulty figuring out their next move and creating new strategies. That is why it is essential to secure them and keep databases updated and functioning smoothly.
- 9 Common Database Management Challenges and How to Fix Them | Tudip Digital | May 16, 2022
- 11 Data Management Challenges and Solutions | Contour Lines | November 7, 2022
- Eleven tips for working with large data sets | Nature | January 13, 2020
- How to secure data at rest, in use and in motion | TechTarget | July, 2022
- How to Increase Database Performance – 6 Easy Tips | DNSStuff | May 10, 2021
- How Much Data Is Created Every Day? +27 Staggering Stats | SeedScientific | October 28, 2021
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