The correct answer is A. Data Transformation.
Data transformation is the process of converting data from one format to another, or from one system to another. It is often used to clean and organize data into a structured format suitable for analysis.
Data transformation can be done manually or automatically. Manual data transformation is time-consuming and error-prone, while automatic data transformation is more efficient and accurate.
There are many different data transformation tools available, both commercial and open source. Some popular data transformation tools include:
- Informatica PowerCenter
- IBM InfoSphere DataStage
- Talend Open Studio
- Pentaho Data Integration
Data transformation is an essential part of the data lifecycle. It is used to prepare data for analysis, reporting, and integration.
Data transformation can be used to:
- Clean and organize data
- Convert data from one format to another
- Convert data from one system to another
- Integrate data from different sources
- Prepare data for analysis
- Prepare data for reporting
Data transformation is a complex process that requires a deep understanding of data and data systems. It is important to choose the right data transformation tool and to use it correctly to ensure that the data is transformed accurately and efficiently.
Here is a brief explanation of each option:
- Data Transformation is the process of converting data from one format to another, or from one system to another. It is often used to clean and organize data into a structured format suitable for analysis.
- Data Visualization is the process of representing data in a graphical format, such as a chart or graph. This can be used to make data more understandable and to communicate insights more effectively.
- Data Aggregation is the process of combining data from multiple sources into a single dataset. This can be used to create a more complete picture of a situation or to identify trends.
- Data Extraction is the process of extracting data from a source system. This can be used to copy data for analysis or to load data into a target system.