Case Study: Global Electronic Manufacturing Company achieves a scalable, high-performance data lake with Antuit

Global Manufacturer Averts Data Swamp With New Data Lake Architecture

Global Electronic Manufacturing Company, a multi‑billion dollar manufacturer of electronic components, connectors and sensors, had built a Hadoop data lake but found it could not scale or perform—leaving more than 10 years of sales and marketing data (~1 TB) largely unusable. The company engaged Antuit’s team of big‑data architects and engineers to audit the environment and address the architecture and process shortcomings.

Antuit redesigned the Hadoop data lake—partitioning and compressing data, moving to split‑able file formats (Sequence/Avro/RC), using proper data types, and validating changes in test environments—while also instituting query‑writing guidelines for power users. The Antuit implementation produced a stable, scalable platform that now delivers fast, reliable, and easily accessible analytics for business decision makers, enabling productive use of the previously stalled 1+ TB of data.