The world of database management is expanding at a quick speed due to demand of users. More data is currently being saved and processed than ever before. Utilizing the power of this data is only possible when you use the latest data management tools and technology. Thus, every organization wants to stay up to date with the current trends in database management as well as learn how it can enable business transformation.
Here’s a list of top trends in database management for your quick reference.
- Databases that bridge SQL and NoSQL
SQL itself was first developed in the mid-1970s by IBM researchers. In 1998, Carlo Strozzi dubbed the term “NoSQL,” meaning either “No SQL” system or “Not only SQL” system. Not only are the features and functions different, but each type of database comes with its own uniqueness. Basically, where SQL fails, NoSQL databases try to pick up the slack. Whether you’re on SQL or NoSQL, in function and use, these databases offer very specific features for businesses. The latest trends in database products are those that don’t simply support a single database structure. Instead, it is now about databases that bridge SQL and NoSQL. The benefit? It will bring out “the best of both worlds”.
- Databases on the Cloud
Developers keep pushing their enterprises to the cloud. They are also discovering how to merge cloud services with existing applications & infrastructure. Cloud databases are databases that run on cloud computing platforms. They are best suited for customers who are focused on getting their applications developed without getting hassled with the infrastructure-related issues. Users can independently run databases on the cloud with either of the two deployment models – virtual-machine image or by purchasing access to database services that are maintained by cloud database providers. With provisioning, compute, storage etc. taken care of, it enables developers to go-to-market faster with their applications, run multiple pilot tests and create a better product.
Also Read: ‘Data as a Service (DaaS)’ the new buzz word in the Tech Industry
- Augmented Database Management
Gartner predicts that through the end of 2022, data management manual tasks will be reduced by 45 percent through the addition of ML and automated service-level management. As organizations are becoming more dynamic and widely spread across multiple functions, it has become essential to deliver agile solutions. To adapt and keep database management simpler, tasks such as Data Quality and Metadata Management will be automated with augmented data management. Augmented data management allows you to perform tasks like schema recognition, regulatory compliance, and utilization with ease. Furthermore, augmented data management will allow databases to be self-tuning and correcting with the help of AI and machine learning analysis.
- Big Data
Data is the new currency and businesses that are able to handle and analyze the data gain a competitive advantage. Big data does not necessarily mean lots of data. It is the ability to process any type of data such as semi-structured, unstructured data or structured data. It enables organizations to gather key insights and patterns from the available data and helps them in taking intelligent decisions based on the same.
- An Increased focus on Security
The rising number of cyberattacks clearly highlights the increased need for data security. Firewalls and an antivirus can no more be the only solution for prevention of data loss. Thus, it is imperative for database administrators to work hand-in-hand with their IT security colleagues to ensure the safety of enterprise data. They must work together to eliminate potential internal weaknesses such as issues related to network privileges, even hardware or software misconfigurations that could be misused, resulting in data leaks.
How can you effectively implement these trends within your organization? Strategic outsourcing to a database management services partner can be a good option to consider.