{"id":15208864,"url":"https://github.com/jabhij/apple_dataanalyis_apachespark","last_synced_at":"2026-02-08T12:09:15.255Z","repository":{"id":241200264,"uuid":"804617478","full_name":"jabhij/Apple_DataAnalyis_ApacheSpark","owner":"jabhij","description":"Analyzed Apple's dataset to check how many people bought Airpods after buying Mac or iPhone. Thereafter, using ML and predictive analytics to check future outcomes.","archived":false,"fork":false,"pushed_at":"2024-05-23T00:07:12.000Z","size":0,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-05-23T00:52:02.281Z","etag":null,"topics":["apache-spark","databricks","mllib","pyspark","python","sql"],"latest_commit_sha":null,"homepage":"","language":null,"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/jabhij.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":"2024-05-22T23:53:13.000Z","updated_at":"2024-05-23T00:52:03.164Z","dependencies_parsed_at":"2024-05-23T00:52:03.037Z","dependency_job_id":"94b0436f-2df6-4f0c-a8c1-47b9ca6b3c9f","html_url":"https://github.com/jabhij/Apple_DataAnalyis_ApacheSpark","commit_stats":null,"previous_names":["jabhij/apple_dataanalyis_apachespark"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jabhij%2FApple_DataAnalyis_ApacheSpark","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jabhij%2FApple_DataAnalyis_ApacheSpark/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jabhij%2FApple_DataAnalyis_ApacheSpark/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jabhij%2FApple_DataAnalyis_ApacheSpark/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jabhij","download_url":"https://codeload.github.com/jabhij/Apple_DataAnalyis_ApacheSpark/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":242276886,"owners_count":20101528,"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","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":["apache-spark","databricks","mllib","pyspark","python","sql"],"created_at":"2024-09-28T07:02:45.178Z","updated_at":"2026-02-08T12:09:15.196Z","avatar_url":"https://github.com/jabhij.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Apple Data Analysis using Apache Spark\n### (End-to-end Data Engineering and ML Project)\n\nAnalyzed Apple's dataset to check how many people bought Airpods after buying a Mac or iPhone. Thereafter, using ML and predictive analytics to check future outcomes. Therefore, as we can see this project has 3 phases-\n\n#### Phase 1 | Data Analysis\n  - Data Cleaning and Preprocessing\n  - Exploratory Data Analysis\n    \n#### Phase 2 | Data Engeenering\n  - Development of an end-to-end ETL/ELT data pipeline\n    \n#### Phase 3 | Machine Learning\n  - Application of Statistical and mathematical models (Predictive Analytics)\n\n## What I've learned?\nI've learned in-depth application of different concepts and techniques like-\n  - Databricks\n    - Delta Tables\n    - Parquet\n  - Apache Spark\n    - PySpark\n    - Apache SQL\n  - SQL\n    - Broadcast Join\n    -  Windows Functions- LAG and LEAD in SQL\n  -  Factory Patterns\n  -  MlLib\n\n## Catch me\nFor any query, ping me on \n- LinkedIn: [@jabhij](https://www.linkedin.com/in/jabhij/)\n- Twitter: [@jabhij](https://twitter.com/jabhij)\n- Web: [LetUsTweak](http://letustweak.com)\n\nHope, it helps!! ヅ\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjabhij%2Fapple_dataanalyis_apachespark","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjabhij%2Fapple_dataanalyis_apachespark","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjabhij%2Fapple_dataanalyis_apachespark/lists"}