Extract, transform, and load (ETL) tools provide a way to extract data from a system, transform it, and load it into a target repository. In practice, an ETL pipeline essentially serves as a data pipeline for cleaning, enriching, and transforming data from a variety of sources before integrating it for use in data analytics, business intelligence and data science applications.
Competition in the ETL field has intensified over the past few years with lots of newer, lightweight alternatives challenging the traditional stalwarts, such as offerings from Informatica, IBM, and Oracle says Dries Ballerstedt, a principal consultant with global technology research and advisory firm ISG in an email interview.
