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ManufacturePro's Industrial Data Lake Operations
Data Storage and Operations
Hard
💼 Scenario
ManufacturePro is a global manufacturer operating 35 factories with 10,000 industrial IoT sensors generating 2 TB of telemetry data daily. The company built a data lake two years ago to support predictive maintenance, quality analytics, and supply chain optimization. However, the data lake has become what the team calls a 'data swamp' with serious operational issues.
Current problems include: data lake storage has grown to 800 TB with no lifecycle management (all data is kept indefinitely on high-performance storage), 40% of stored data has no metadata and cannot be identified or attributed to a source, query performance has degraded by 70% due to small file problems and lack of partitioning, there is no disaster recovery plan for the data lake, and the monthly cloud storage bill has reached $120,000.
The VP of Manufacturing needs the data lake to reliably support real-time equipment failure prediction (currently 85% accurate but needs 95%), and the CFO demands a 50% reduction in storage costs. The data engineering team has 4 members, limiting the scope of remediation efforts.