{"id":25664459,"url":"https://github.com/lexiortiz/ibm-data-engineering-fundamentals","last_synced_at":"2026-04-13T03:33:50.038Z","repository":{"id":276844339,"uuid":"930496160","full_name":"lexiortiz/ibm-data-engineering-fundamentals","owner":"lexiortiz","description":"Notes, exercises, and projects from the IBM Data Engineering Fundamentals path via Verizon Skill Forward.","archived":false,"fork":false,"pushed_at":"2025-02-22T18:05:04.000Z","size":149,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-02-22T19:20:09.682Z","etag":null,"topics":["data-engineering","numpy","pandas","postegresql","python","sql"],"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/lexiortiz.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":"2025-02-10T18:16:18.000Z","updated_at":"2025-02-22T18:05:07.000Z","dependencies_parsed_at":"2025-02-10T19:30:16.889Z","dependency_job_id":"7c06d2e2-e78b-43f6-9eac-13a78fd3c0f9","html_url":"https://github.com/lexiortiz/ibm-data-engineering-fundamentals","commit_stats":null,"previous_names":["lexiortiz/ibm-data-engineering-fundamentals"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lexiortiz%2Fibm-data-engineering-fundamentals","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lexiortiz%2Fibm-data-engineering-fundamentals/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lexiortiz%2Fibm-data-engineering-fundamentals/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/lexiortiz%2Fibm-data-engineering-fundamentals/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/lexiortiz","download_url":"https://codeload.github.com/lexiortiz/ibm-data-engineering-fundamentals/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":240427315,"owners_count":19799471,"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":["data-engineering","numpy","pandas","postegresql","python","sql"],"created_at":"2025-02-24T06:18:45.402Z","updated_at":"2026-04-13T03:33:44.991Z","avatar_url":"https://github.com/lexiortiz.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# IBM Data Engineering Fundamentals\n\n## Overview\n\nThis repository contains my notes, exercises, and projects from the **IBM Data Engineering Fundamentals learning path**, offered through Verizon Skill Forward. The program covers foundational concepts, hands-on skills, and real-world applications in **data engineering**.\n\n## Program Structure\n\nThe program consists of **six courses**, each focusing on different aspects of data engineering:\n\n1. **Data Engineering Basics for Everyone** – Introduction to data engineering concepts, data lifecycle, and ecosystem.\n2. **Python Basics for Data Science** – Fundamentals of Python, data structures, file handling, APIs, and libraries like Pandas \u0026 NumPy.\n3. **Python for Data Engineering Project** – Hands-on projects using Python for data engineering workflows.\n4. **Relational Database Basics** – Introduction to relational databases, MySQL, PostgreSQL, and IBM Db2.\n5. **SQL for Data Science** – SQL queries, functions, stored procedures, and database transactions.\n6. **SQL Concepts for Data Engineers** – Advanced SQL concepts like optimization, indexing, and complex queries.\n\n## Goals\n\n- Document my data engineering journey.\n- Provide structured notes and practical examples.\n- Build projects that demonstrate real-world skills.\n- Share insights with others learning data engineering.\n\n## Tools \u0026 Technologies\n![Python](https://img.shields.io/badge/python-3670A0?style=for-the-badge\u0026logo=python\u0026logoColor=ffde57) ![Pandas](https://img.shields.io/badge/pandas-%23150458.svg?style=for-the-badge\u0026logo=pandas\u0026logoColor=CE123D) ![NumPy](https://img.shields.io/badge/numpy-%23013243.svg?style=for-the-badge\u0026logo=numpy\u0026logoColor=4D77CF) ![MySQL](https://img.shields.io/badge/mysql-f29111.svg?style=for-the-badge\u0026logo=mysql\u0026logoColor=00758f) ![Postgres](https://img.shields.io/badge/postgres-%23316192.svg?style=for-the-badge\u0026logo=postgresql\u0026logoColor=white)\n\n- **Python**: Pandas, NumPy, API interactions, and ETL processes.\n- **SQL**: MySQL, PostgreSQL, IBM Db2.\n- **Data Repositories**: Databases, data warehouses, data lakes.\n- **Big Data Concepts**.\n\n## How to Use This Repo\n\n- **Explore notes** for concept understanding.\n- **Try exercises** to reinforce learning.\n- **Check out projects** for real-world examples.\n- **Refer to additional resources** for deeper learning.\n\n## Connect with Me\n\nI'm documenting my journey into **Data Engineering** and would love to connect!\n\n- **GitHub**: [lexiortiz](https://github.com/lexiortiz)\n- **LinkedIn**: [aortiz-dev](https://www.linkedin.com/in/aortiz-dev/)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flexiortiz%2Fibm-data-engineering-fundamentals","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Flexiortiz%2Fibm-data-engineering-fundamentals","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Flexiortiz%2Fibm-data-engineering-fundamentals/lists"}