What are the benefits of ETL in data processing?
ETL, which stands for Extract, Transform, Load, offers several benefits including improved data quality, integration, and accessibility.
Can you explain how ETL improves data quality?
ETL improves data quality by cleaning and validating data during the transformation process, ensuring accuracy and consistency.
What types of data sources can ETL work with?
ETL can work with various data sources such as databases, cloud storage, APIs, and flat files, making it highly versatile.
How does ETL differ from ELT?
ETL processes data before loading it into the target system, while ELT loads raw data first and transforms it afterward.
Are there any tools you recommend for ETL?
Yes, popular ETL tools include Apache NiFi, Talend, and Informatica, each offering unique features for data integration.
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