Testing framework for Databricks notebooks
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Oct 26, 2026 - Python
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Testing framework for Databricks notebooks
Apache Spark Connector for Azure Cosmos DB
spark apache-spark connector jupyter-notebook pyspark databricks changefeed lambda-architecture azure-cosmos-db databricks-notebooks cosmos-db azure-databricks
Azure Databricks MLOps sample for Python based source code using MLflow without using MLflow Project.
python azure ml databricks databricks-notebooks ml-production mlops mlflow ml-ops ml-operations mlflow-projects ml-monitoring
Analyzing the safety (311) dataset published by Azure Open Datasets for Chicago, Boston and New York City using SparkR, SParkSQL, Azure Databricks, visualization using ggplot2 and leaflet. Focus is on descriptive analytics, visualization, clustering, time series forecasting and anomaly detection.
visualization data r azure leaflet geospatial opendata eda sparksql workshop-materials sparkr anomalydiscovery time-series-analysis anomaly-detection databricks-notebooks timeseries-forecasting azure-databricks datascience-machinelearning aiforsocialgood 311-data
Azure Databricks - Advent of 2020 Blogposts
python machine-learning scala sql spark notebook pyspark data-analytics mllib r-language notebooks sparkr databricks azure-data-factory databricks-notebooks spark-structured-streaming azure-databricks mlflow azure-machine-learnning data-engineerg
code, labs and lectures for the course
python data-science machine-learning spark etl spark-streaming data-analysis databricks data-science-notebook databricks-notebooks aws-machine-learning
Databricks DLT Apparel Pipeline Project: Learn medallion architecture, streaming, and data engineering with Delta Live Tables. Includes synthetic data, step-by-step guide, and certification prep.
etl pyspark data-engineering learning-by-doing data-pipelines databricks dlt databricks-notebooks azure-databricks lakehouse delta-live-tables medallion-architecture
Databricks. Incremental data processing, task orchestration, and production job monitoring.
Black for Databricks notebooks
Databricks Data Engineer Associate Certification Lab: End-to-end hands-on project covering Auto Loader, Medallion Architecture, SCD Type 2, Unity Catalog governance, and Databricks Jobs orchestration. Build a production-grade pipeline on Databricks Free Edition.
Revolutionary AI ETL with Medallion Architecture: Zero-touch autonomous & HITL pipelines on Databricks
github end-to-end data-transformation databricks human-in-the-loop databricks-notebooks etl-pipeline hitl medallion-architecture langgraph agentic-workflow langsmith-tracing
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
Delta Lake Optimization Project: Hands‑on lab to explore partitioning, Z‑Ordering, compaction (manual & auto), Liquid Clustering, and VACUUM using a synthetic sales dataset in Databricks. Includes a step‑by‑step notebook to measure file scans, bytes read, and query performance for each optimization.
big-data pyspark data-engineering databricks z-order databricks-notebooks hands-on compaction delta-lake
A solution for on-demand training and serving of Machine Learning models, using Azure Databricks and MLflow
A data pipeline project build on databricks and azure to demostrate lifecycle of a cloud data project.
python azure jupyter-notebook adf databricks datapipeline databricks-notebooks datafactory azuredatabricks
Are you like me , a Senior Data Scientist, wanting to learn more about how to approach DevOps, specifically when you using Databricks (workspaces, notebooks, libraries etc) ? Set up using @Azure @databricks
microsoft devops azure databricks databricks-notebooks azure-databricks azure-devops laura-edell microsoft-ml
Databricks Real-Time Fintech Monitoring Pipeline: Hands-on lab to build a streaming fraud detection system using Auto Loader, watermarked deduplication, stream-static joins, and windowed rules engines in Databricks. Covers dual-SLA architecture for real-time alerts and batch compliance reporting.
real-time pyspark data-engineering fintech databricks structured-streaming fraud-detection databricks-notebooks hands-on watermarks delta-lake
Using Azure Databricks (Spark) for ML, this is the //build 2019 repository with homework examples, code and notebooks
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