00-IOT-wind-turbine-introduction-DI-platform
Start here to explore the Data Intelligence Platform.
01-Data-ingestion
01.1-Lakeflow-Declarative-Pipelines-Wind-Turbine-SQL
SQL DLT pipeline to ingest data & build clean tables.
01.2-Lakeflow-Declarative-Pipelines-Wind-Turbine-SQL-UDF
Loads ML model as UDF in python.
01-Data-ingestion/plain-spark-delta-pipeline
01.5-Delta-pipeline-spark-iot-turbine
Build a complete ingestion pipeline using spark API (alternative to DLT)
02-Data-governance
02-UC-data-governance-security-iot-turbine
Secure your tables, lineage, auditlog...
03-BI-data-warehousing
03-BI-Datawarehousing-iot-turbine
Run interactive queries on top of your data
04-Data-Science-ML
04.1-automl-iot-turbine-predictive-maintenance
Leverage Databricks AutoML to create a predictive maintenance model in a few clicks
04.2-automl-generated-notebook-iot-turbine
Explore the best predictive maintenance model generated by AutoML and deploy it in production.
04.3-running-inference-iot-turbine
Once your model is deployed, run low latency inferences.
05-Generative-AI
05.1-ai-tools-iot-turbine-prescriptive-maintenance
Use tools to enable the AI agent to perform actions besides language generation.
05.2-agent-creation-guide
Use Databricks Playground to test and deploy your agent.
06-Workflow-orchestration
06-Workflow-orchestration-iot-turbine
Orchestrate all tasks in a job and schedule your data/model refresh