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Data Engineering Learning Roadmap

A practical, self-paced roadmap for SQL, Python, analytics engineering, data pipelines, big data, and portfolio projects.

THE PROJECT / FOLLOW THE THREAD

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01 / WHY THIS WORK EXISTS

What this project explores.

A practical, self-paced roadmap for SQL, Python, analytics engineering, data pipelines, big data, and portfolio projects.

ProjectData Engineering Learning Roadmap
Available evidence7 linked files
ExploreProject website & source
02 / THE CHOICES & CONNECTIONS

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The repository documents Data Engineering Learning Roadmap. Start with the README and follow its setup and implementation files; the source collection below gives you a way into the work.

Power BIPythonSQLAirflowPySparkDockerPostgreSQLSQL ServerInformaticaPandasDAXPower Query
Read the implementation notes
03 / OPEN THE WORK

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The source files and README are the available evidence for this project. Open them to review the implementation and its assumptions.

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04 / THE WORK BEHIND THE CLAIM

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7 linked source files

DOCREADME.mdDOCCONTRIBUTING.mdDOCROADMAP.mdDOCdocs/ADD_VIDEO_RESOURCES.mdDOCdocs/CAPSTONE.mdDOCdocs/CERTIFICATIONS.mdDOCdocs/COMMUNITY_RESOURCES.md
Open the documentation Explore the repository
LATEST FROM GITHUB

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A practical, self-paced roadmap for SQL, Python, analytics engineering, data pipelines, big data, and portfolio projects.

Current README excerpt

One unified learning website by Sohila Khaled Abbas: the complete GitHub Pages content in a shared new design, 19 guides and templates, 12 stages, original resource links, embedded YouTube lessons, SQL practice, networking, OS, databases, analytics engineering and end-to-end project work.

A source excerpt, not an independently verified outcome.

A different question.
A connected skill.

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