Data Engineering Implant
In the midst of a digital transformation, Equifax, a global leader in credit and financial information solutions, faced the monumental challenge of moving its data repositories from archaic local systems to Google's advanced cloud. The complexity lay in faithfully replicating the data transformations performed by complex ETL processes on old servers, adapting these to a modern environment with Python and cloud technology. Given the magnitude of this task, Equifax turned to WhiteBox in search of a solution that would guarantee the accuracy and consistency of post-migration data, a critical task given the volume (terabytes) and the importance of the information to be processed.
WhiteBox responded to this challenge with the addition of a Data Engineer who specialized in data quality. This professional led the creation of a state-of-the-art validation framework, designing highly efficient algorithms for comparing data between sources, thus facilitating an exhaustive evaluation of data quality. His extensive knowledge of modern and distributed data processing technologies, such as Apache Spark, has been key to the success of the project.
The collaboration with WhiteBox has allowed Equifax not only to complete its data migration within the established deadlines but also to ensure the highest quality of the data. The developed framework, now fully operational, continuously monitors the integrity of the migrated data, minimizing errors and saving the team valuable time.
Automatic Extraction of Sustainability Indicators
Automatic Extraction of Startup Metrics