These ETL tools feature advanced data integration capabilities that can help enterprises prepare data for analytics.
Cynthia Harvey and James Maguire writes in
"Today's ETL tools play a key role in today's data-driven enterprises. Every major big data analytics project requires collecting data from disparate sources, getting it into the right format and then loading it back into the analytics software. So it's no surprise that ETL, short for 'Extract, Transform, Load' is used daily.
This ETL process can be a major headache for enterprises. In one Forrester report, customers said that up to 80 percent of their data warehouse workloads were ETL jobs. In addition to consuming valuable computing resources, this work also requires a lot of time on the part of business analysts and highly paid data scientists. As a result, both enterprises and vendors have been looking for ways to streamline and simplify the ETL process..."
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