April 14, 2022
ETL systems are the backbone of data analytics in any modern organization. They extract data from transactional applications, transform it so that it’s suitable for analysis in downstream applications, and load it into data warehouses, data marts, and other key data repositories. Traditionally, the ETL process has involved building structured workflows—also known as pipelines—that automate batch processing and movement of data between sources and downstream repositories, applications, and users.
Undertaking ETL modernization can be a daunting process, though. It can involve a wide range of overlapping and interdependent technical, operational, and business issues. The journey requires that many enterprises migrate to an elastic, fully managed, cloud-native DataOps infrastructure in order to succeed.
Download this TDWI Insight Accelerator today to learn best practices for modernizing your ETL systems.