A global mining enterprise managing high-volume procurement, supplier, policy, and market intelligence documentation across multiple geographies. With rapid digital transformation and expansion, the organization required a modern data platform leveraging Databricks Lakehouse architecture to unify data, enable advanced analytics, and power intelligent decision-making.
“ As enterprise data volumes exceeded 5–10 TB, critical business data remained siloed across SharePoint, shared drives, and legacy repositories. The absence of a unified Data Lakehouse platform limited scalability, governance, and real-time insights. ”
Mining
Ongoing
Data Services
Databricks-Powered Lakehouse with AI-Driven Knowledge Discovery
A two-phase enterprise data modernization strategy was implemented using Databricks Lakehouse Platform on Azure, combining data engineering, machine learning, and AI-powered search.
A scalable Delta Lake-powered data lakehouse was deployed to unify structured and unstructured data.
An intelligent AI layer was built leveraging Databricks Machine Learning and NLP capabilities.
Transforming fragmented enterprise data into a unified, intelligent, and scalable Lakehouse platform
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