Testing framework for Databricks notebooks
- Updated
Apr 20, 2024 - Python
Testing framework for Databricks notebooks
Black for Databricks notebooks
Databricks. Incremental data processing, task orchestration, and production job monitoring.
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
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.
Databricks notebook that integrates data from Microsoft Dataverse to Databricks Delta table, including the schema inference
Genie Spaces API on Microsoft Teams
Feature Engineering, Spark ML Random Forest Model, Log MLFlow, Streaming Data Source
Pacote de aceleradores para os primeiros passos no Databricks.
Example of what you can do in Databricks in the Secure Data Environment (SDE) using Python, SQL, and R.
Azure Databricks Notebook that assigs team members to customers based on a set of criteria
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.
Continuous Delivery tool for PySpark Notebooks based jobs on Databricks
Accelerator code for advertising spend optimization, leveraging Databricks
A simple commandline application to keep in sync between databricks and your local filesystem.
Accelerator code for an anomaly detection module leveraging Databricks for use as part of a Network Threat Detection System
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