What are the challenges in ETL when dealing with big data environments?
- Avoiding the need for data partitioning
- Ensuring real-time processing of data
- Managing large volumes of data efficiently
- Relying solely on traditional relational databases
Big data environments pose challenges in ETL, including efficiently managing large volumes of data. Traditional ETL tools may struggle with the scale, necessitating the use of distributed processing and specialized tools for effective extraction, transformation, and loading in big data scenarios.
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