Pinned Loading

1. tokyo_olympics_de_project tokyo_olympics_de_project Public

   Explore the Tokyo Olympics data journey! We ingested a GitHub CSV into Azure via Data Factory, stored it in Data Lake Storage Gen2, performed transformations in Databricks, conducted advanced analy…

   Jupyter Notebook 3 3

2. sales-outlet-etl-pipeline sales-outlet-etl-pipeline Public

   An end-to-end ETL pipeline that extracts data from an Azure SQL Server database, transforms the data using Databricks, and loads the transformed dataset into Azure Data Lake Storage (ADLS).

   Jupyter Notebook

3. superstore_azure_de_project superstore_azure_de_project Public

   Copying data from Amazon S3 bucket to Azure Blob container by using Azure Data Factory pipeline. This Data is mounted to Databricks and further analysis is done using Spark SQL.

   Python

4. banks_webscraping_etl_project banks_webscraping_etl_project Public

   Python script for ETL operations on the world's largest banks' data, utilizing web scraping to extract information from a Wikipedia page, performing data transformations, and storing results in CSV…

   Python

5. uber_etl_data_engineering_project uber_etl_data_engineering_project Public

   An ETL Pipeline built over GCP and orchestrated by Mage, which involves Extracting Data from GCS Bucket, building Dimensional Model, loading the Data into BigQuery and a Looker Dashboard for furthe…

   Jupyter Notebook 2