Achieving a 75% Reduction in ETL Processing Time with Apache Spark
The organization faced challenges related to lengthy and time-consuming Extract, Transform, Load (ETL) processes, impacting data processing efficiency, and timely availability of insights. Traditional ETL solutions struggled to handle large datasets and complex transformations, leading to significant delays in data processing.
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