Case Study: Leading Professional Education and Learning Company achieves unified analytics and streamlined reporting with Happiest Minds

Leading Professional Education and Learning Company - Customer Case Study

Happiest Minds worked with an apparel retailer to modernize its enterprise data warehouse. The customer needed to know whether a Hadoop‑based approach could handle varied data formats (CSV, Excel, JSON, XML, images), support the concurrency they had on Teradata, meet both batch and real‑time ingestion requirements, and which tools to use for ingestion, modeling, storage and reporting.

Happiest Minds implemented a Hadoop‑optimized EDW (MapR distribution) with MapR Streams/Kafka for ingest, Spark and Hive for CDC, transformations and dimensional upserts, MapR‑DB and Parquet for storage, and semantic/export layers for reporting. The engagement included use‑case identification, a six‑week discovery, a working prototype, governance and migration roadmap; outcomes were validated scalability and performance, reduced EDW storage costs, faster ELT/reporting, and enabled self‑service analytics and advanced analytics/ML workloads.