Databricks Community

Energy platforms increasingly rely on high-frequency sensor telemetry to monitor assets, optimize performance, and drive predictive analytics. However, telemetry from field devices, substations, and distributed energy resources often arrives in incon...

Oil pipelines operate under extreme pressures and conditions, where even minor anomalies such as abrupt pressure shifts or irregular flow rates can signal leaks, blockages, or equipment failure. Traditional monitoring systems rely on batch data and s...

Generate pipeline documentation using LLMs and rich metadata extract As enterprise data environments expand, the complexity of maintaining accurate and current documentation across ETL pipelines has intensified. While modern platforms such as Databri...

Automatically detect skew and pipeline issues using ML profiling  Data skew is a persistent performance issue in distributed data pipelines. On platforms like Databricks, skewed partitions can quietly degrade performance, inflate compute costs, and d...