The nature of the data with which modern companies are forced to work in order not to flunk out of the market is changing rapidly. This means that database administrators are faced with new tasks. In 2019, this should take into account the following approaches and vectors of development of database administration.

Focus on Maximum Performance

If earlier database administration services were limited only to maintaining a working state, then with an ever-increasing amount of data, it is logical that the priority begins to shift towards the highest possible performance.

Algorithms for Managing and Administering Data Are Becoming Increasingly Complex

As for database administration and management, contemporary realities are such that it is necessary to manage several database platforms at once, each of which has its own method of collecting data. Today, it is not enough to simply collect data, they need to be rethought in such a way that their use gives a business result. For this reason, many tasks become automated, which would seem to simplify working with data, but does not reduce the number of management and administration tasks.

Cloud as a Tool for Improved Flexibility

The shift in priority towards cloud storage is changing the approach to administration. If earlier in the case of traditional SQL database administration, it was necessary to have a large number of resources related to I/O, memory, and processor, then cloud storage of data requires an analytical approach to administration. In this regard, database administration services specialists are very often forced to seek a reasonable balance between resources, limited budgets and business needs.

But at the same time, it is impossible to deny the fact that the cloud as a data storage tool will offer more and more features, some of which will be possible to simplify using machine learning and artificial intelligence.