00-churn-introduction-lakehouse
Start here to explore the Lakehouse.
01-Data-ingestion
01.1-DLT-churn-SQL
SQL DLT pipeline to ingest data & build clean tables.
01.2-DLT-churn-Python-UDF
Loads ML model as UDF in python.
01.3-DLT-churn-python
Python DLT pipeline to ingest data & build clean tables.
01.4-DLT-churn-expectation-dashboard-data-prep
Python DLT pipeline to ingest data & build clean tables.
01-Data-ingestion/plain-spark-delta-pipeline
01.5-Delta-pipeline-spark-churn
Build a complete ingestion pipeline using spark API (alternative to DLT)
02-Data-governance
02-UC-data-governance-security-churn
Secure your tables, lineage, auditlog...
03-AI-BI-data-warehousing
03.1-AI-BI-Datawarehousing
Run interactive queries on top of your data
03.2-AI-BI-Genie
Run interactive queries on top of your data
04-Data-Science-ML
04.1-automl-churn-prediction
Leverage Databricks AutoML to create a churn model in a few clicks
04.2-automl-generated-notebook
Explore the best churn model generated by AutoML and deploy it in production.
04.3-running-inference
Once your model is deployed, run low latency inferences.
05-Generative-AI
05.1-Agent-Functions-Creation
Define the Unity Catalog functions to reduce churn, including a churn predictor, order retriever, and marketing copy generator.
05.2-Agent-Creation-Guide
Define an AI agent with the functions you defined in notebook 05.1
06-Workflow-orchestration
06-Workflow-orchestration-churn
Orchestrate all tasks in a job and schedule your data/model refresh