DataExpert-io /data-engineer-handbook
This is a repo with links to everything you'd ever want to learn about data engineering
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README
The Data Engineering Handbook This repo has all the resources you need to become an amazing data engineer! Join the free Databricks AI boot camp on August 3rd here and signup for Databricks Free Edition here Getting started If you are new to data engineering, start by following this 2024 breaking into data engineering roadmap If you are here for the 4-week free beginner boot camp you can check out: - introduction - software needed If you are here for the 6-week free intermediate boot camp you can check out - introduction - software needed For more applied learning: - Check out the projects section for more hands-on examples! - Check out the interviews section for more advice on how to pass data engineering interviews! - Check out the books section for a list of high quality data engineering books - Check out the communities section for a list of high quality data engineering communities to join - Check out the newsletter section to learn via email Resources Great list of over 25 books Top 3 must read books are: - Fundamentals of Data Engineering - Designing Data-Intensive Applications - Designing Machine Learning Systems Great list of over 10 communities to join: Top must-join communities for DE: - DataExpert.io Community Discord - Data Talks Club Slack - Data Engineer Things Community Top must-join communities for ML: - AdalFlow Discord - Chip Huyen MLOps Discord Companies: - Orchestration - Mage - Astronomer - Prefect - Dagster - Airflow - Kestra - Shipyard - Hamilton - Data Lake / Cloud - Tabular - Microsoft - Databricks - Onehouse - Delta Lake - Ilum - DuckLake - Apache Iceberg - Apache Polaris - Lakekeeper - Data Warehouse - Snowflake - Firebolt - Databend - Data Quality - dbt - Metaplane - Gable - Great Expectations - Streamdal - Coalesce - Soda - DQOps - HEDDA.IO - Dingo - Education Companies - DataExpert.io - LearnDataEngineering.com - AlgoExpert - ByteByteGo - Analytics / Visualization - Preset - Starburst - Metabase - Looker Studio - Tableau - Power BI - Hex - Apache Superset - Evidence - Redash - Lightdash - Data Integration - Cube - Fivetran - Airbyte - dlt - Sling - Meltano - Estuary - Arpe.io - Semantic Layers - Cube - dbt Semantic Layer - Modern OLAP - Apache Druid - ClickHouse - Apache Pinot - Apache Kylin - DuckDB - QuestDB - StarRocks - LLM application library - AdalFlow - LangChain - LlamaIndex - Real-Time Data - Aggregations.io - Responsive - RisingWave - Striim - Data Lineage - OpenLineage Data Engineering blogs of companies: - Netflix - Uber - Databricks - Airbnb - Amazon AWS Blog - Microsoft Data Architecture Blogs - Microsoft Fabric Blog - Oracle - Meta - Onehouse - Estuary Blog Data Engineering Whitepapers: - A Five-Layered Business Intelligence Architecture - Lakehouse:A New Generation of Open Platforms that Unify Data Warehousing and Advanced An
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#382Quality Assessment of Recent Pull Requests0 comments · 2026-04-02#381Review of Recent Pull Requests0 comments · 2026-04-02#386Review Pull Request #375: Create read_this_for_application_fundamentals_for_python0 comments · 2026-04-04#411Learn0 comments · 2026-08-05#385Review Pull Request #372: Added Data Cleaning Best Practices and Python preprocessing example0 comments · 2026-04-04#129README for materials/1-dimensional-data-modeling missed user creation step5 comments · 2024-11-18#389Review Pull Request #383: Add DataDriven.io to Education Companies0 comments · 2026-04-04#387Review Pull Request #376: Add Arpe.io to Data Integration list0 comments · 2026-04-04