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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

Over the past few years, data-driven enterprises have succeeded with the Extract Transform Load (ETL) process to promote seamless enterprise data exchange. This indicates the growing use of the ETL process and various ETL tools and techniques across multiple industries.

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The Case for Automated ETL Pipelines

Ascend.io

However , the traditional methods of executing ETL are increasingly struggling to meet the escalating demands of today’s data-intensive environments. Transform: Process the data to make it suitable for analysis (this can involve cleaning, aggregating, enriching, and restructuring).