{"id":22420229,"url":"https://github.com/mehassanhmood/bigdata-analytics","last_synced_at":"2025-10-29T11:53:05.915Z","repository":{"id":224139751,"uuid":"761860265","full_name":"mehassanhmood/BigData-Analytics","owner":"mehassanhmood","description":"Retrieving data from different resources and bringing the preprocessed data to PowerBI for Visualizations","archived":false,"fork":false,"pushed_at":"2024-03-17T09:33:32.000Z","size":6182,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-27T04:43:21.010Z","etag":null,"topics":["azuresql","dataware","elt","etl-pipeline","powerbi"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mehassanhmood.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2024-02-22T16:15:05.000Z","updated_at":"2024-03-17T10:29:52.000Z","dependencies_parsed_at":"2024-03-17T09:34:57.158Z","dependency_job_id":null,"html_url":"https://github.com/mehassanhmood/BigData-Analytics","commit_stats":null,"previous_names":["mehassanhmood/bigdata-and-finance"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mehassanhmood/BigData-Analytics","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mehassanhmood%2FBigData-Analytics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mehassanhmood%2FBigData-Analytics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mehassanhmood%2FBigData-Analytics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mehassanhmood%2FBigData-Analytics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mehassanhmood","download_url":"https://codeload.github.com/mehassanhmood/BigData-Analytics/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mehassanhmood%2FBigData-Analytics/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":281617486,"owners_count":26531925,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-10-29T02:00:06.901Z","response_time":59,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["azuresql","dataware","elt","etl-pipeline","powerbi"],"created_at":"2024-12-05T16:18:21.089Z","updated_at":"2025-10-29T11:53:05.870Z","avatar_url":"https://github.com/mehassanhmood.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data Extraction and Pipeline Project\n\nThis repository contains the code and documentation for a data extraction and pipeline project. The project involves extracting data from various resources, transforming it, and loading it into different databases. Below is an overview of the project:\n\n## Overview\n- Extracted data from different resources such as API’s, CSVs, JSON.\n- Saved the loaded data into different databases:\n  - Structured data was stored in SQL databases including SQL Express Server and MySQL.\n  - Semi-structured data was stored in MongoDB.\n- Built a pipeline to retrieve the data from these sources, perform transformations, such as sentiment analysis on news data using a pretrained model, and load it into a local staging database.\n- Utilized PostgreSQL for storing transformed data in the local staging database.\n- Used Pyspark to design and implement the pipeline for data processing.\n- Shifted the data from the local data warehouse to a cloud-based service, specifically Azure SQL.\n- Utilized Power BI for creating visualizations and dashboards to analyze the data.\n\n## Data Flow Diagram \n![alt text](DataFlow.png)\n## Project Structure\nThe project is structured as follows:\n- `models/`: Contains pretrained models used for sentiment analysis.\n- `docs/`: Contains project documentation.\n- `visualizations/`: Contains visualizations and dashboards created using Power BI.\n\n## Usage\nTo run the data extraction and pipeline:\n1. Install the required dependencies specified in `requirements.txt`.\n2. Change the configuration based on your env in `conf.yaml` file.\n3. Run the main script to execute different components of the pipeline.\n4. Use Power BI to open and explore the visualizations and dashboards in the `visualizations/` directory.\n\n\n\nFeel free to contribute by submitting bug fixes, enhancements, or additional features.\n\n## License\nThis project is licensed under the [MIT License](LICENSE).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmehassanhmood%2Fbigdata-analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmehassanhmood%2Fbigdata-analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmehassanhmood%2Fbigdata-analytics/lists"}