Streamlining Data Management with ADF for Operational Agility
Overview.
A leading financial firm in the US recognized the need to optimize its data processing workflows for increased efficiency and agility. The existing reliance on external sources, such as files and third-party tools like Alteryx and Tidal, posed challenges in terms of additional time, effort, and costs. To address these challenges and enhance operational efficiency, they sought to reduce their dependency on external sources and streamline their data pipelines.
Need to optimize data processing workflows for increased efficiency and agility.
Reliance on external sources like files and third-party tools (Alteryx and Tidal).
Challenges in terms of additional time, effort, and costs.
Solutions.
Coforge spearheaded this operational efficiency initiative, leveraging cutting-edge technologies to transform the client's data processing landscape:
Implemented Azure Data Factory (ADF) to establish direct connections with source systems, eliminating the need for intermediate file transfers and third-party tools.
Utilized Snowflake, a powerful cloud-based data platform, as the central database for running stored procedures and securely storing data.
Replaced previously employed Tidal and Alteryx jobs with ADF pipelines, consolidating data processing workflows and enhancing transparency and control.
