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Why Use SQL For Automations?

SQL automation could be life-changing to the database manager (DBA) who find their day-today tasks are ensnared by monotonous tasks. Tasks that often divert attention from other, more urgent duties. However, there are many factors to be taken into consideration in deciding whether to automatize.

In the ideal case automation can save substantial time, allowing DBAs to work more efficiently. But if it is not used correctly, it can lead to major mistakes.

We will look at the capabilities of SQL automations, as well as how to make use of it to automate your work.

What exactly is SQL?

SQL is abbreviation to mean Structured Query Language – is a programming language used to handle large amounts of data. It’s used to connect with databases. Nearly all databases use SQL commands such as “select”, “insert” and “update” to facilitate navigation. There are likely to be other extensions that are unique to that particular database.

Like Python in the practical sense, SQL tends to be less complicated. SQL has served as the preferred language for navigation and database communication since 1986. In contrast to other programming languages, SQL makes use of commonly used phrases and words. Therefore, it is simpler for people who can comprehend English at a minimum to learn it.

Once you’ve mastered SQL you are able to use it with virtually every database to query and alter information.


The term “automation” is utilized in a variety of situations. The basic idea is that it allows for tasks to be completed automatically with minimal or no requirement for humans to be involved. In the case in the context of SQL as well as data processing, this can be a way of automating the creation or the navigation of data sets which can be then processed and utilized in a structured manner.

For instance An SEO agency could employ SQL automation to streamline the tasks that could be otherwise completed manually. This may enable them to integrate keyword sets and other key metrics into several workflows, which speeds up the work process significantly.
Utilizing SQL to automatize

SQL is an incredibly accessible method for programmers to automate specific operations related to data. When used in the right context, it can help save substantial amount of time as well as energy.

For instance:


A DBA can spend large portions of their time backups of the database. It’s usually the last job of the day. It’s straightforward, and typically allows multitasking, but it’s not without challenges.

In addition, backups tend to become longer and longer over time. At first it can take up to thirty minutes to back up the system. Each day the amount of data accumulated. This means the time it takes to backup the system will increase exponentially.

A month or two later the future, it could take up to an hour. Automating the process can solve this issue. Through an automated backup procedure the DBA can back up the system over night. Then, the next day they will be able to check to ensure that the backup was done correctly.

This kind of SQL automation is effective because it performs the task of being constant, never altering regardless of the situation.

Index maintenance

Maintaining indexes is another job which can be either partially or entirely automated. DBAs frequently have to be responsible for the task of rebuilding, reorganising, or the updating of their index. This is a process that’s very simple to execute, but lengthy.

Automation could be a good option to consider. Some experts do not recommend this option however, some insisting on the fact that maintenance of indexes is a delicate task that requires a skilled hand.

DBAs who are undecided about whether or not to automate their job may want to talk with your employers. They could have already established guidelines.

Automation of SQL: To automate or not

Knowing what to do with your data and not to is the key to success in SQL automation. Certain tasks lend themselves with SQL automation.

For instance, updates backups, updates, and other maintenance-related tasks are laborious tasks that require an enormous amount of human energy. They are also able to be automated. Automation is usually a good solution for these scenarios since it doesn’t disrupt other processes.

However, there are reasons to not automate certain SQL tasks. A few of them are strictly logistical. If it takes an hour or so to accomplish the task manually and a long time to automatize it typically it’s best going the manual route.

The other reasons are less about saving time, but more about ensuring the highest quality of your procedures. Certain tasks should be performed manually, despite the urge to automatize.

A good example is the process of checking a database prior to it is transferred to servers. This is to make sure that the database is compatible. This can be automated however, it increases the possibility of costly mistakes which are best avoided.

In fact, this is the guideline to be the basis for your SQL automation actions. If the task is one that requires the supervision of a person, then you’re probably likely to do better performing it manually. If it’s a repetitive procedure, make it automated.