The ETL Acceleration Suite by Flatirons is a set of tools that streamline the extraction, transformation, and load (ETL) processes from legacy applications.
The ETL Acceleration Suite simplifies data extraction and transformation from a variety of relational databases and mainframe systems and addresses common bottlenecks in the ETL process, including the reduction of data pipeline configuration time, faster data transformation, real-time monitoring, and built-in data validation.
Using the ETL Acceleration Suite can help shorten application retirement projects, reduce application retirement project costs, and eliminate costly ETL errors ending up in your archive. Whereas other ETL tools require a high degree of manual setup and aren’t designed to scale easily, Flatirons’ ETL Acceleration Suite automates portions of the ETL process and can scale to support hundreds of millions of rows of data and terabytes of information.
Automatically extract bulk data and metadata from relational databases and transform it to XML so you can speed data extraction from relational database systems and transformation to a future-proof format; reduce or eliminate manual extraction and transformation errors; eliminate additional tooling required to extract BLOB content.
Automatically transform data from legacy COBOL-based mainframe applications and EBCDIC file formats to an XML format and generate a corresponding XML schema so you can speed the transformation of legacy COBOL data to a future-proof format and reduce or eliminate manual extraction and translation errors.
Automatically translate character-separated value (CSV) files into XML data files for ingestion so you can speed the transformation of legacy CSV data to a future-proof format; reduce or eliminate manual extraction and translation errors; and easily transform zip files and directories of CSV files into XML in one process, reducing transformation time.
Contact us to learn more about lowering ETL hurdles and speeding the adoption of an Application Decommissioning strategy using InfoArchive.
