Case Study: K12 Education Provider achieves scalable real-time student analytics and 360-degree insights with Happiest Minds

K12 Education Providing Company - Customer Case Study

Happiest Minds, a digital transformation and big-data services firm, helped enterprises facing rising EDW costs and rigidity: monolithic appliances that struggle to scale, process unstructured or real‑time data, and provide self‑service analytics. An apparel-retailer client specifically asked whether a Hadoop-backed approach could handle varied file formats, match Teradata concurrency, meet batch and real‑time SLAs, and which tools to use for ingestion, modeling and reporting.

The team recommended a Hadoop‑optimized EDW and ran a focused discovery followed by migrate/validate/refactor/retire phases. Using a MapR‑based stack (MapR Streams, Spark/Hive, Parquet, MapR‑DB, Hive metastore, plus tooling for CDC, exports and semantic views), they built a prototype datamart, defined architecture, governance and migration plans, and trained stewards. Results included lower EDW storage spend, faster ELT and analytics, support for varied and streaming data at scale, and measurable business impact in case projects (reduced churn and improved real‑time insights for media and education customers).