What is meant by Data merging?
The term "data merging" refers to the process of consolidating data from various sources into a central database or a unified data format. The goal of data integration is to enable a consistent and comprehensive view of the data to facilitate better analysis and informed decision-making.
Typical software functions in the area of "data merging":
- Data Extraction: Retrieving data from various sources such as databases, APIs, files, or applications.
- Data Cleansing: Checking and correcting data to eliminate errors and improve data quality.
- Data Formatting: Adjusting data formats to ensure consistency across different datasets.
- Data Enrichment: Enhancing existing data with additional information from other sources.
- Data Validation: Verifying data accuracy and completeness according to established rules and criteria.
- Data Integration: Combining cleaned, formatted, and enriched data into a central database or data warehouse.
- ETL Processes: Conducting Extract, Transform, Load (ETL) processes for systematic data processing and transfer.
- Deduplication: Identifying and removing duplicate records in the integrated data.