If you need someone to create, manage and maintain huge databases then what you are looking for is a database architect. These skilled professionals are essential for helping businesses manage large amounts of data. A database architect can be critical for helping companies grow and dominate new marketplaces, so the focus can be on managing their business and formulating realistic strategic goals. A database architect will collaborate extensively with design analysts, software engineers and other specialized professionals to deliver optimized databases that will host thousands, even tens of thousands of users.
While the database architect constructs the database, you also need someone to properly maintain it; this is the database administrator. He needs to perform all the tasks required to make the database function as necessary. This means managing, backing up and making all the data accessible and available even as it is generated, processed and consumed by the employees and clients of the organization.
Responsibilities of the database administrator include but are not limited to installing/upgrading database servers, allocating the physical requirements of the system, performing modifications and adaptations to conform with input from application developers and more. A database administrator may also be required to perform fundamental database performance tuning – and in extreme cases may even call in the original database architect to pick apart the innards of the database.
Database Performance Tuning
Achieving and sustaining high database performance is an important part of running goal-critical applications. Doing so requires continual database performance tuning, but what exactly is it?
Essentially, database performance tuning includes every single step that can be taken to improve performance, the goal is to optimize system resource use and achieve greater efficiency. This is not the same as maintenance, which simply means fighting entropy and upholding the status quo. This action fine tunes specific database elements, including but not limited to query structure, index use, system configuration and data models, so the performance of the overall system can be designed beyond the specifications of the original data architect.