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Latest Data Management Trends to Look Out for in 2020

Data management would remain a differentiating business practice in the next several decades. Business competitors will be pressured to contend with one another based on their data management strategies when they have exhausted all the other strategic advantages. The growth, rise, and enormous potential of advanced data technologies now rendered data management as one of the most intimidating differentiators. 

Today, in any custom application development service, data management is very important. It’s the process of ingesting, storing, organizing, and maintaining data built and gathered by an organization. The Efficient management of data is a critical part of the deployment of IT systems, which run business apps as well as provide analytical information to drive strategic planning and driving operational decision-making through business managers, corporate executives, and other end users. 

This year, despite the pandemic, businesses are eager to know the latest database trends. According to qualified and experienced custom software developers, IT leaders, software architects, and engineers there are different views in terms of the best database management systems highly preferred this year. 

The 2020 Latest Data Management Trends

Single Database versus Multi-Database Systems

In the past ten years, there’s been a surge in using multi-databases. Now, businesses are shifting from the trends of putting all eggs in a basket. Today, most organizations use more than a single database system to empower apps over one database. 

Multiple databases are a combination of SQL with NoSQL databases. Multiple databases provide support to different business products. Keep in mind that when it comes to companies, one size does not fit every business. 

One business may like SQL while another opts for NoSQL. Nonetheless, both have clear and defined advantages. Make sure the database is developed and evolved in a way that provides compatibility to fulfilling the daily requirements. 

Metadata Growth

This year sees the growth of metadata. This is the tech metadata used by mechanical tools in the data platforms and apps’ interface. It covers data structure, types of data, protocol parameters, and so on. 

Moreover, it’s also referred to as data cataloging, which describes the data characteristics, such as lineage, domain, profile statistics of a dataset, and quality. The characteristics could be subjective, particularly when users tag data to check usability, trust, and sensitivity to compliance levels. 

Performance of Database – Keeping Tabs of the Response Time

There were several responses when it comes to database performance by software engineers, architects, any kind of custom application development service, and other professionals in the field of Information Technology. Response time was the most critical metric tracked for performance. Most databases this year have an architecture with several platforms. 

There’s a remix of data lakes similar to data warehouses. The lake would be physically distributed towards relational databases as well as Hadoop Clusters, which could be deployed on-premises or used on cloud platforms. There’s a hybrid possibility that both will be deployed. 

Today, data lake owners are looking at other data platform options to move deeper into the data lake that is in nature hybrid. This way, the data becomes streamlined. The techniques for virtualization become handy. Experts in the analytical data industry state that this year, the hybrid data lake would be similar to a virtual data lake, just like a virtual data warehouse. 

How Data Management Benefits Businesses

1. Eliminates Redundancy on Data

Duplicate files are often created when processing data file-based data management systems, which leads to redundancy. To reduce or resolve the files, however, required more space and manpower. A data management system will minimize repetitions by integrating all files into one database. 

2. Data Privacy and Sharing

The system enables the sharing of data among authorized users. Complete access belongs to the management and only authorized persons could assign the access level to users after they verify all protocols. 

3. Data Security and Integrity

A data management system ensures safety and integrity. Integrity relates to the accuracy and consistency of data that play a major role since there are big data volumes in numerous databases. The databases are visible to various users with information available to make business-related decisions. 

4. Recovery and Backup

One of the major issues for companies is the loss of data. In the usual file processing system, you need to regularly backup the database that wastes lots of time and resources. And, if you have big data volumes, the process takes longer. With a database management system, you need not do frequent backups since it will automatically handle backup and recovery regularly. 

5. Consistency of Data

Consistency is a must to make accurate business decisions. A management system ensures that data consistency and data redundancy are relatively easy to maintain. all data remains consistent for all users. Even the latest change to the database would be reflected in the database and made visible to all who are using it. 


The latest data management trends this year help keep data consistent across various industry verticals.

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Morris Harvey

I’m Morris currently working as a Technical Writer in a Custom Application Development Company in Australia.. He publishes posts with an emphasis on Software Technology, innovation, education, and entrepreneurship for several firms.

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