What is data transformation and why is it important?
An example of an AI chatbot conversation about data transformation and its significance in data processing.
What is data transformation and why is it important?
Data transformation is the process of converting data from one format or structure into another. It's crucial for data integration, analysis, and ensuring data quality.
Can you give me some examples of data transformation?
Sure! Examples include converting CSV files to JSON, normalizing data values, and aggregating data for reporting.
How does data transformation fit into the data pipeline?
Data transformation is a key step in the data pipeline, occurring after data collection and before data analysis, ensuring data is in the right format.
What tools are commonly used for data transformation?
Common tools include Apache NiFi, Talend, and Microsoft Power Query, which help automate and streamline the transformation process.
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