Every business knows the importance of data. In today’s market, data is critical for understanding the needs of your target audience, the performance of your systems and the competition landscape. Consequently, data management has become an important cornerstone in the management of businesses as more entities outsource software development.
Over the last decade, there has been a significant transformation in the database management landscape. New trends continue to emerge in database management and it is proving necessary for businesses to keep up if they want to remain relevant. This post highlights some of the top trends in database management today.
As mentioned, data is very valuable. There has been an increased threat of cyberattacks, with hackers developing more innovative and sophisticated strategies to access company data. This highlighted a need to focus on security in these areas.
Today, technologies such as Blockchain are being incorporated to minimize the threat of cyberattacks. Hardware and software configurations are also becoming more sophisticated to stop hackers from compromising the integrity of your data base.
Cloud computing is not a new thing. It has been around for several decades. However, we have seen a trend where most databases are now being hosted in the cloud. Experts in the field predict that the future of database management is in the cloud. It is expected that by 2022, roughly 75% of all databases will have migrated to the cloud or will be deployed from the cloud.
The preference of cloud over local database warehouses is due to the advanced functions cloud hosting provides. Scalability and ease of integration are some of these advanced functions which increase use of cloud technology. Cloud hosting provides companies with more flexibility as it expands their scope of work-location while minimizing the risk of data loss.
With automation, companies are now capable of eliminating the inefficiencies in their systems and processes. In a fast-paced world staying ahead of the competitions requires businesses to have faster and more accurate processes. The top advantages of automated database management include:
The emergence and dominance of technologies such as Artificial Intelligence and Machine Learning have brought new possibilities for enhanced database performance. Predictive analysis allows businesses to process, analyse, and draw insights from their data faster. Allowing them to make informed decisions.
With machine learning, businesses can learn to provide personalised responses to their clients by analysing each unique user’s data. They can then draw insights on their preferences which inform the business on the best ways to respond to their clients.
Predictive analysis is still a relatively new technology and under development. However, the results achieved so far suggest that the possibilities presented by predictive analysis and machine learning will help businesses draw better insights and use data more effectively.
Outsourcing is a common trend in software development. However, most people only think it is limited to web and app development. Over recent years, outsourcing database management has become increasingly common. More companies are moving overseas for their database management solutions.
The increasing preference for outsourcing in software development is attributable to the low costs and assured quality of services. These reasons are the same for outsourcing database management. Outsourcing the services of a company professional database management assures you quality services and minimal cost. Additionally, at ODS you get assured quality and a dedicated team of professionals.
There is a departure from using a single database strategy. Database management is adopting a structure that combines the old SQL with the new-age NoSQL practices. For a long time, SQL has been the automatic choice for data management. However, NoSQL has emerged as a suitable and necessary option, especially with the digitization of database management. Simply put, NoSQL can process large volumes, velocity, and a variety of data better.
Bridging SQL and NoSQL allows you to enjoy the capabilities of both technologies.
With the increased importance of data protection, governments around the world have started establishing various regulatory frameworks to govern the management of data. Good examples of such regulatory policies are the California Consumer Privacy Act enacted in January 2020 and the General Data Protection Regulation enforced in the European Union.
Businesses today are required to establish sufficient data protection frameworks to safeguard the data they collect from users. Moreover, they are obligated to inform the users of the type of personal data collected and how their intention. There are also various regulatory cybersecurity frameworks in place in order to enforce security frameworks. Businesses have to comply with these laws and policies to protect their users from potential hackers.
Several technologies, such as artificial intelligence and machine learning, have emerged bringing significant transformation in the database management landscape. They are expected to cause further disruption going forward, especially given the increased interest in their potential.
That said, the disruption does not mean businesses should rush to keep up. While you should strive to keep up with current developments, the adoption of new tools and processes should facilitate improved operations and effective data management in your business. It is critical to have a proper database management strategy to govern how you handle and integrate the new trends in your operations.
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