Building and maintaining a data warehouse can require hundreds or thousands of ETL tool programs. As a result, building data warehouses with ETL tools can be time-consuming, cumbersome, and error-prone — introducing delays and unnecessary risk into BI projects that require the most up-to-date data, and the agility to react quickly to changing business demands.
New, agile data warehouse automation and transformation platforms eliminate the need for conventional ETL tools by automating repetitive, labor-intensive tasks associated with ETL integration and data warehousing.
ETL automation frees you from error-prone manual coding and it automates the entire data warehousing lifecycle from design and development to impact analysis and change management. ETL automation tools automatically generate the ETL commands, data warehouse structures, and documentation necessary for designing, building, and maintaining your data warehouse program, helping you save time, reduce cost, and reduce project risk.
Seamless integration with a real-time event capture and data integration solution enables real-time ETL by combining real-time source data integration with automated ETL generation—and supports a wide ecosystem of heterogeneous data sources including relational, legacy, and NoSQL data stores.