Data Engineering Project using Tokyo Olympic Data
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Updated
Jan 21, 2024 - Jupyter Notebook
Data Engineering Project using Tokyo Olympic Data
A repository to continue my education on Azure Data Services.
Azure Logic App to Pause, Resume, Dial-Up and Dial-Down a Azure Synapse Dedicated SQL Pool
Solution accompanying the article on Serverless architectures
A B2B solution and architecture. This includes code for Azure Function App, SQL Server. Integration with azure synapse and event hubs as well.
Data pipeline that processes Formula1 data with Azure Databricks, DeltaLake, and Azure Data Factory
Unofficial samples that utilise Pigment's API to integrate with data movement and serverless solutions.
Data Engineering Project - Python, PySpark & SQL - Azure Data Factory (ADF), DataBricks, Synapse Analytics, Azure Data Lake Storage (ADLS) Gen2, Power BI, Tableau and Looker Studio
A simple pipeline to transform data within Azure Data Factory using Azure Databricks. Although it is written in Scala the same can be replicated in Python.
💠 Build ETL for movielens dataset in Microsoft Azure
Azure Data Factory Upsert to Document DB
ADF with self hosted integration runtime based samples
Triggering azure data factory pipeline from c# application
This module gathers and imports data factory run information.
A cutting-edge data project leverages Azure's suite of services to seamlessly transform raw data from GitHub into actionable insights. Using Azure Data Factory for data ingestion, Databricks for PySpark transformations, Synapse Analytics for advanced analysis, and Power BI for intuitive visualization, this project navigates complex data workflows..
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