In this post, you can cover some of the best practices for ETL (extract, transform, load) in data warehousing. You can discuss common ETL challenges, such as data quality issues and performance bottlenecks, and provide tips and strategies for overcoming these challenges. You can also touch on emerging trends in ETL, such as ELT (extract, load, transform) and data streaming.
Best Practices for ETL in Data Warehousing
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