Global Manufacturer Averts Data Swamp with New Data Lake Architecture

Working collaboratively with the client, the Antuit team audited the existing process, and then re-engineered and implemented a robust scalable architecture. As a result of this process, Antuit uncovered a number of challenges. The client’s existing architecture could not handle the +10 years of sales and marketing data. The existing systems did not scale, and therefore were not prepared to handle the velocity or volume of data expected in the future. Some power users within the organization were executing overwhelmingly complex queries that exceeded system limitations. Finally, the data systems themselves were housed and managed by disparate business units with minimal integration. Mindful of the significant investment the client had made in its Hadoop architecture, Antuit recommended and then implemented a number of changes. The Antuit team helped the client restructure the data lake and created a better data process by partitioning and compressing data, using split-able file formats, and helping them to identify and use the right data types. To create a seamless experience, Antuit was able to leverage multiple test environments to validate approaches and identify ancillary technologies that, once integrated, would keep their data lake running smoothly and efficiently.