Databricks
8 items using Databricks
Projects
Blog Posts
Databricks Series, Part 6: ML Serving and Workflows
Batch and real-time model inference, Databricks Model Serving endpoints, and orchestrating the full ML pipeline with Databricks Workflows.
Databricks Series, Part 5: Machine Learning with MLflow
Tracking experiments, logging models and artifacts, comparing runs, and managing the model lifecycle with MLflow on Databricks.
Databricks Series, Part 4: Feature Engineering at Scale
Databricks Feature Store, FeatureEngineeringClient, FeatureLookup, training sets, and eliminating training-serving skew.
Databricks Series, Part 3: Data Ingestion with Auto Loader
cloudFiles format, schema inference, schema evolution, and building robust incremental ingestion pipelines on Databricks.
Databricks Series, Part 2: Lakehouse Architecture
Unity Catalog for governance and discovery, the medallion Bronze/Silver/Gold pattern, and Delta tables as the storage foundation.
Databricks Series, Part 1: Getting Started
Navigating the Databricks workspace, launching clusters, writing notebooks, and submitting your first PySpark job.
Databricks Series, Part 0: Overview
The lakehouse platform concept, what Databricks adds on top of Spark and Delta Lake, and how it compares to alternatives.