Challenges of Data Transformation
How Data Transformation Service can Benefit Businesses
Types of Data Transformation
Data Cleansing
Removing errors, inconsistencies, and duplicates from the data to improve data quality.
Data Aggregation
Summarizing data by grouping it based on specific attributes or dimensions.
Data Enrichment
Enhancing data with additional information, such as demographic data or geographic coordinates.
Data Integration
Combining data from multiple sources to create a unified view.
Data Normalization
Restructuring data to eliminate redundancies and anomalies, resulting in a standardized format.
Data Formatting
Converting data into a consistent format for analysis or integration with other systems.