Testing framework for Databricks notebooks

Black for Databricks notebooks

Databricks Add-on for Splunk

Repository of notebooks and related collateral used in the Databricks Demo Hub, showing how to use Databricks, Delta Lake, MLflow, and more.

Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows

A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow

Notebooks to learn Databricks Lakehouse Platform

Databricks. Incremental data processing, task orchestration, and production job monitoring.

Databricks notebook that integrates data from Microsoft Dataverse to Databricks Delta table, including the schema inference

nbmanips allows you easily manipulate ipynb files

Introducing Delta-Buddy: Your ultimate Delta Lake companion! 🚀 Streamline your data journey with an AI-powered chatbot. Ask Delta-Buddy anything about your Delta Lake.

Feature Engineering, Spark ML Random Forest Model, Log MLFlow, Streaming Data Source

Azure Databricks Notebook that assigs team members to customers based on a set of criteria

Example of what you can do in Databricks in the Secure Data Environment (SDE) using Python, SQL, and R.

Utlised Azure services to orchestrate earthquake daily data pipeline from USGS, consisting of last 7 days of data. Data was transformed and loaded into Azure SQL database and finally Tableau dashboard was made.

Pacote de aceleradores para os primeiros passos no Databricks.

Accelerator code for an anomaly detection module leveraging Databricks for use as part of a Network Threat Detection System

Códigos em spark utilizados no dia a dia para manipulação de dados desde a ingestão até o refinamento.

Code accelerator to migrate data from Snowflake tables into Databricks Delta Live Tables

The project harnessed an ETL multi-hop architecture, ingesting data from the Ergast API into a storage backed by Azure Data Lake. The process involved weekly ingestion of bronze layer data as cutover and delta files. Raw data, in varied formats, was transformed using Azure Databricks PySpark notebooks into enriched Silver and Gold layers.