Data Automation is defined as the process of handling and processing data through automation tools, and it consists of three elements – Extract, Transform, and Load. It is also called ETL, and it comes with various advantages. Automating data instead of manual performance saves valuable time and money and improves business efficiency. Time and again, data automation have proved to be an error-free and structured process.
Organizations are dealing with petabytes of data daily, and database automation tools make their life easier. By leveraging automation tools, companies can maintain accuracy and consistency, and database administrators can focus on the core activities of the business.
Why Automation?
The database automation tools provide a productive and cost-effective solution for the enterprise. It is an incentive for a business to save costs, and it is beneficial for the employees, who can now focus on high stimulating activities.
- Time-Saving
Processing petabytes of data coming from disparate sources is a time-consuming task when done manually. The data varies in format and, therefore, has to be validated before it is uploaded onto the system. Database automation saves valuable time by minimizing manual intervention and making sure that the processed data becomes a part of the data pipeline. Automation ensures resource utilization and reliability.
- Scalability
By enabling Change Data Capture or CDC, any minor change an administrator makes at the source level propagates throughout the data pipeline, but manually, this is a very difficult task. Automation ensures this scalability along with enhanced performance. With CDC, loading large volumes of data reduces down to dragging objects on the database without making any significant changes.
- Data Integration
Automation ensures consistency. This is because of the flawless integration of data from multiple sources into a single data pipeline. Quality of work is paramount to an organization, and this cannot be compromised through manual entry.
How to Automate?
There are essentially two ways of automating the tasks conducted by the administrators – traditional and automation tools. Traditionally, database administrators performed data entry through various tools or through database code or shell scripts. These database tools covered everything ranging from data entry, creation of tables, creating alerts, and extending local storage. These were essentially performed by database administrators.
Automation tools are more advanced in sourcing various data into a singular pipeline. The data automation tools provide a fully automated environment where the tools can provide a host of services ranging from assistance to backup. For example, MAS is compatible with Oracle, MySQL, PostgreSQL, MariaDB, and SQL servers. These tools facilitate the enterprises and provide an easier integration of complex databases and IT processes.
Conclusion
Database Administrators have to deal with a plethora of tasks every day, and this includes complex activities like data security, upgradation, mitigation, and even managing costs. Automation tools like MAS reduce these complexities and aid organizations in achieving optimal performance and enhanced data security. Businesses are moving towards automation at a faster pace due to its performance and scalability. Database tools help companies to achieve efficiency and agility in their everyday tasks.
