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How Data Manipulation Helps us Get Relevant Information?
In all areas of work, data collection and analysis is of the utmost importance. Especially for the software development industry, data acts as a foundation to help developers build the service structure to bring to users.
After you have the data, to make the data usable, the next thing to do is to manipulate and translate it. The ultimate purpose is to use that data to support business intelligence, business performance or trend analysis, etc. The following article will provide all the ways to manipulate data and understand the importance of data manipulation.
In Brief
1?? What is data manipulation?
2?? Why do we use data manipulation?
3?? Data manipulation vs data modification
4?? Data manipulation steps
5?? Data manipulation tips
What is data manipulation?
Data manipulation is the process of changing or adjusting data so that it is more organized and easier to read. This process uses DML (Data Manipulation Language) or a programming language capable of inserting, deleting, and modifying databases. In other words, it adapts data into something that we can read.
In addition, to manipulate and communicate with the database, experts use SQL (Structured Query Language), SQL includes 4 functions: Select, Insert, Update, and Delete. Through that, we can tell a particular system what to do with the data or at least a selected piece of data.
Why do we use data manipulation?
Data is essential for a company, business, or individual, for the simple reason that they need data to analyze markets, analyze customers, cut costs, boost productivity, etc. Therefore, data manipulation is extremely important and brings many benefits, including:
- Format consistency: Data in a consistent and transparent form will help employees in a company better understand what the company's activities are. Thereby helping them work more smoothly and with better overall efficiency.
- Historical overview: Using data from previous projects reduces costs and manpower, making it easier to make accurate decisions about budget allocation, work time, and work size.
- Efficiency: Pay attention to your internet activity every day, collecting and manipulating data makes shopping easier, and finding information easier. A good example is Google - A website that collects and analyzes data, through which the following people can experience more efficient internet browsing. Compared with the software development industry, data collection and manipulation will make the following services always better and more stable.
Data manipulation vs data modification
These are two completely different terms, data manipulation is the act of processing raw data with the use of logic or computation to obtain different and more refined data. On the other hand, modifying data means that you are changing existing data values or the data itself.
Data manipulation steps:
- Create a database consisting of different data sources;
- Tweak and clean the database by rearranging and restructuring its contents;
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- Import or build a database that you can read;
- Combine, merge or remove redundant information;
- Conduct data analysis to draw useful conclusions that can guide the decision-making process.
Data manipulation tips
You've certainly used Microsoft Excel, and let's take this as an example to review data manipulation tips:
- Formulas and functions: You can rely on the necessary mathematical functions to add the desired value to your data.
- Autofill: Once you've calibrated your values, you perform equations across multiple fields or cells without re-entering the information from scratch. So, for the sake of efficiency, users are encouraged to rely on this feature through data manipulation.
- Filter: Whenever you need to find specific data relevant to what you are analyzing, you can always use the filter option to isolate the information you want to see.
- Eliminate duplicate fields: When filtering data, you may also notice similar sets of information, so remove those extra fields.
- Combine columns: You can merge, separate, or use other means to organize your data in excel to paint a clear picture and ensure the most relevant cells are displayed. display immediately.
Outcome
Data collection and data analysis have changed the way every industry operates. Collecting and analyzing is important, but how you manipulate the data is just as important.
This article is about general data manipulation that can be applied by any industry, no matter what industry you work in, data always serves as the foundation. From large corporations to individuals, they always use data for work, so data leakage is an accident that brings many dangers to everyone in every industry.
Chainos hopes to have provided readers with a deeper insight into data manipulation and its importance in the modern economic context of the 21st century. Let’s learn more because later on, the knowledge you learn in the present will help you succeed.
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