Top-5 Business Database Trends to Follow In this Pandemic
Nowadays, because of the COVID-19 situation, many businesses are struggling to manage their database. The IDC firm predicted a 65% acceleration of digital economy (APAC GDP) with USD 1.2 trillion spending by the end of 2023. Considering the business economics and their journey to the digitalization, we can consume the fact about databases being an asset of businesses.
This article contains information about the five latest database trends that will shape your business.
Hyper Transaction Analytical Processing (HTAP):
As we all know, over the past decade, big data and databases have set their impression among users. While one manages online workforces, another one controls the quantity of data in a batch-processing manner.
If we see from retailers’ view, incoming data synchronization from multiple sources in various formats in real-time is improving recommendations and shopping experience for customers is necessary. With HTAP or batch workload integration, businesses can solve such synchronization problems quickly. Also, this trend will continue to grow over time.
Distributed Cloud-Native Platform:
The cloud adoption and migration rate at the present defines that by 2022, the industry can assume the 75% of industrial databases migration or deployment to the cloud ecosystem. However, this migration will also create a demand for cloud solutions and management services for cloud-native architecture. By achieving such requirements, business processes may become more dynamic than before.
Users can have the benefits of high availability and agility of cloud-native databases by combining various distributed processing techniques.
Smart and Automatic:
Considering technological transformation pace, we can assume, that day is not far from where we will be having self-driving databases and roadmaps for significant processes. And that can be achieved by using AI for basic processes such as self-scaling and tuning system parameters as per requirements of any e-commerce or legacy systems.
Multi-Model:
In the past, plenty of database models were available, such as document-oriented, relational, graphical, time-series, and more. As a new data generation platform emerges, more data will arrive from them in heterogeneous format and challenge businesses to perform analytics and derive insights, but with the technology advancements, like AI, ML and IoT, it will become a lot easier to manage.
In the near future, databases will utilize the cloud-native architecture to separate storage and compute processes and be on the same page as various open-source conventional interfaces. Also, they will allow connecting with hybrid computing and analytical systems seamlessly.
All these functionalities will help to enhance the performance of multi-model data stores, IoT devices, analytics of system metadata, time-series data, and other meaningful logs.
Built-In Security:
In this cloud era, it is the top priority to maintain integrity and security visibility with customers by securing data through methods of flexible key management, transparent data encryption, SSL maintenance, and continuously auditing security features.
Conclusion:
COVID-19 pandemic has changed the way businesses used to work and taught them to be ready to face uncertain challenges. And that’s where, technology bridges the gap between business processes and employees. If businesses stay with existing and cutting-edge technology trends, then they can secure their competitive edge.
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