Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows
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Updated
May 31, 2024 - Python
Orchestrate your Databricks notebooks in Airflow and execute them as Databricks Workflows
Databricks ETL Pipeline for retrieving and processing NI TestStand test results, featuring a well-documented notebook for ETL operations, Data Lake for storage, Spark SQL+Python for transformations, and Power BI as the final visualization of factory metrics.
Large dataSet of IPL Data till 2017 analysis using PySpark.
Apache Spark Connector for Azure Cosmos DB
This project explores data analysis of the Indian Premier League utilizing AWS S3, Apache Spark, python, and SQL.
Notebooks to learn Databricks Lakehouse Platform
data engineering task solution
Black for Databricks notebooks
This repository is used to perform data analysis using Databricks and Tableau on NYC crime datasets
Exploración los principios del Procesamiento de Datos a Gran Escala con talleres de Databricks y Spark. Aprender herramientas como Pandas y PySpark para el análisis eficiente de grandes conjuntos de datos. Impartidos por John Corredor en la Pontificia Universidad Javeriana.
This is an End-to-End Data Engineering Project that using the IPL Dataset.
This is an End-to-End Data Engineering Project that using the IPL Dataset.
Testing framework for Databricks notebooks
Ce dépôt GitHub contient un document détaillé sur les bases du langage Scala.
Databricks DataShift Shuttle
An Formula One ( F1 ) ETL project in Azure – Azure Data Lake - Data Factory - Azure Databricks data-engineering-project
A summative coursework for CSC8101 Engineering for AI
nbmanips allows you easily manipulate ipynb files
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