Database Management Trends in 2022

During the last few years, the world has changed and continues to evolve rapidly. Similarly, the way organizations process and store data is changing, too. Since data is a critical element of most businesses, it needs to be managed and secured carefully.

To adapt to a changing world and provide solutions, new developments in database management have been made, some of which I’ve observed are gaining popularity in the data management industry. So, in this article, I’m outlining some noteworthy database management trends in 2022.

Augmented Data Management

With more companies dealing with increasingly complex data management issues due to the growing volume and variety of data, augmented data management has become an effective solution to ever-changing data management requirements.

Augmented data management involves the application of AI to enhance or automate data management tasks. With this, companies are able to automate data quality checks, improve the manual data cleansing process, detect data quality issues, and remove any inconsistencies in the data. Additionally, it allows businesses to make decisions based on reliable data. Thus, traditional data management tasks that require a lot of manual labor, such as data preparation and purification, can be done with augmented data techniques.

Increased Cloud Usage

We have seen a lot of businesses adopting cloud computing in recent years. Companies are no longer evaluating whether or not cloud data management will benefit them; they are analyzing how to use the system. They are charting their way to the cloud via cloud data warehouses, cloud data lakes, and cloud data ecosystems.

The reason for this change might have to do with the challenges that come with using only on-premises hardware, such as difficulties in managing database administrators, data engineering costs, flow sweeps, and the infrastructure itself. To stay flexible, organizations are now switching to multiple cloud providers in a bid to optimize cost and productivity.

Metadata Management

Most organizations have an information system that is overcrowded and disorganized. Basically, there is data everywhere, making it very difficult to find what you’re looking for when you need it, and without proper management, that problem only keeps growing.

This is why more organizations have begun to lean towards getting a robust metadata management strategy that assures that an organization’s data is of high quality, consistent, and accurate across various systems. Organizations using a comprehensive metadata management strategy are more likely to make business decisions based on correct data than those who have no metadata management solution in place. Thus, this is one trend that’s currently shaping the database management atmosphere that I’m certain will keep rising in popularity.

Distributed Ledger Technology (DLT) and Blockchain

This data management trend is a continuation of one that has been gaining traction for some years, particularly due to worries about data security. By using distributed ledger solutions, organizations can maintain more secure transaction records, asset monitoring, and audit trails.

Combining this technology with blockchain development ensures that decentralized, non-alterable data, including financial transaction records and sensitive data retrieval activities are always accurate and never tampered with.

In-Memory Databases

IMDBs have become very popular because they respond more quickly than traditional systems. In-memory databases store data in a computer’s main memory instead of a disk drive.

This reduced response time is made possible because there is no need for translation and caching. The data being used remains in the same form as when it arrived and in the same form as the application working with it. These databases are commonly used by applications that depend on rapid response times and offer real-time Data Management. The industries operating and benefitting from in-memory databases include banking, travel, gaming, and telecommunications.

Conclusion

As the world of data changes every day, implementing cutting-edge systems, tools, and best practices, organizations can drive business growth and achieve breakthroughs.

Hopefully, some of these new trends will pave the way to more growth and productivity with regard to database management.