Currently, data is often known as the most valuable treasure. This is because data works as a reference for activities. Well, an important stage in data processing is data manipulation. However, people misunderstand secrecy, because they do not know the meaning of data manipulation.
What is Data Manipulation?
The definition of data manipulation is a method used to synchronize data so that it is well-organized and easy to read. This method is usually implemented with the help of a special tool, namely DML (Data Manipulation Language).
DML itself is a programming language that can help users enter data into a table database. Then fetch data and delete data from the table. Thus, the data can be information that is easy to read and reach.
Data Manipulation Work Process
As previously stated, data manipulation is a process of adjusting data to make it easier to read. The times, this process has been utilized in various industrial sectors in the world, including the financial sector.
This is because the work process of data manipulation tends to be easy. However, new users may not be too familiar with the work process. For that, consider the following review.
- First, companies must find data sources that come from databases.
- Then, the analyst will reorganize and restructure the data.
- After that, create it and then import it into the database for the analyst to work on.
- If the database has been formed, then the analyst can merge and delete it. Then create information through data manipulation work processes.
Benefits of Data Manipulation
The definition of data manipulation is basically a technique for adjusting data. So, this technique is very important, especially for companies in order to optimize business growth. In addition, data manipulation also has various benefits, such as:
1. Consistency in Data
The benefit offered by data manipulation is to get data consistency. Of course, this process can simplify the data so that it is easy to understand. This is because the data is structured in such a way that it becomes easy-to-read data.
2. Project Data
Apart from providing data consistency, it also offers project data. Thus, companies that use historical data must apply this process in order to analyze the data more deeply. That way, the company can achieve its goals.
3. Deleting Data
The next benefit is being able to delete data that is not needed. Of course, this is intended so that later it does not affect the results of decision-making. Therefore, unused data should be deleted.
4. Increased Data Value
As is well known that data manipulation includes merging, deleting, and updating data. Of course, this can make the value of the data even higher. In addition, it provides broader data information.
How to Manipulate Data Through Excel
The development of increasingly sophisticated technology, of course, makes work to be completed quickly, one of which is processing data. Currently, data processing activities, namely data manipulation, can be carried out using Excel. The way to manipulate data through Excel is as follows:
1. Using Formulas and Functions
As is well known that Excel has provided various formulas that can make it easier for users to process data. Starting from the formula addition, multiplication, subtraction, and division. Of course, these formulas can be used to manipulate data.
2. Perform Duplicate Removal
If data manipulation has not been successful using formulas and functions, then another way that can be applied is to delete duplicates. To delete them, users can take advantage of the duplicate feature which can delete duplicate spreadsheet entries.
Advantages of Data Manipulation Language
DML is indeed one of the most important things if you want to carry out operations in the database, especially data manipulation. Because DML has parts that can make data manipulation more optimal. In addition, there are various benefits, such as:
- Flexibility in fetching data.
- The data stored in the database is easy to modify at any time.
- Provide effective and efficient interaction.
- Can apply various constraints at the schema level.
That was a brief explanation related to the meaning of data manipulation that must be known. Although this method is seen as a process that is not good. However, basically, this data manipulation only intends to assist users in processing data so that it is easy to understand and understand.