ehddnr301 / data-engineering-for-everybody

DE4E: Data Engineering for Everybody by Pseudo-Lab
https://pseudo-lab.github.io/data-engineering-for-everybody
MIT License
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Data Engineering for Everybody

DE4E: Data Engineering for Everybody by Pseudo-Lab.

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Welcome to our DE4E repository! We aim to give you a complete understanding of data engineering, from fundamentals to advanced concepts. Whether you're new or experienced, our repository empowers data lovers with the knowledge and skills for success in the data-driven era. Join us on this exciting journey as we unlock the full potential of data engineering together!

DE4E: Data Engineering for Everybody

Data Engineering for Everybody click the above image will guide you to DE4E website

➑️ move to the website: pseudo-lab.github.io/data-engineering-for-everybody

Acknowledgement πŸ™

DE4E: Data Engineering for EverybodyλŠ” κ°€μ§œμ—°κ΅¬μ†Œμ˜ DSF ν”„λ‘œκ·Έλž¨μ—μ„œ μ‹œμž‘λ˜μ—ˆμŠ΅λ‹ˆλ‹€.
μ‹œμž‘μ— μ•žμ„œ κ°μ‚¬μ˜ 말씀을 μ „ν•©λ‹ˆλ‹€.

κ°€μ§œμ—°κ΅¬μ†ŒλŠ” DataCamp의 후원을 λ°›μ•„ Donates ν”„λ‘œκ·Έλž¨μ„ μ§„ν–‰ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. ν”„λ‘œκ·Έλž¨μ„ 톡해 ꡬ직자, λΆˆμ™„μ „ μ·¨μ—…μž, λΉ„μ˜λ¦¬ 연ꡬ κ³Όν•™μž, ν•™μƒλΆ„λ“€κ»˜ DataCampμ—μ„œ μ œκ³΅ν•˜λŠ” λ‹€μ–‘ν•œ μ½”μŠ€μ™€ νŠΈλž™μ„ μ œκ³΅ν•©λ‹ˆλ‹€. λ³Έ ν”„λ‘œμ νŠΈλŠ” DataCamp Donates ν”„λ‘œκ·Έλž¨ 쀑 ν•˜λ‚˜μΈ Data Science FellowshipμœΌλ‘œλΆ€ν„° μ‹œμž‘λ˜μ—ˆμŠ΅λ‹ˆλ‹€.

DE4EλŠ” 데이터 뢄석가, 데이터 κ³Όν•™μž, 데이터 μ—”μ§€λ‹ˆμ–΄, λ¨Έμ‹ λŸ¬λ‹ μ—”μ§€λ‹ˆμ–΄κ°€ ν•¨κ»˜ λͺ¨μ—¬ λ°μ΄ν„°μ˜, 데이터에 μ˜ν•œ, 데이터λ₯Ό μœ„ν•œ Data Engineering Repositoryλ₯Ό λ§Œλ“€μ–΄ λ‚˜κ°€κ³ μž ν•©λ‹ˆλ‹€.

Contents

Schedule

idx Date Subject Presenter Pre-Question Tag
0 2023-03-26 Session 0. Orientation μ΄μ˜μ „ Why should we learn Data Engineering? #OT #Direction # Motivation
1 2023-04-02 Session 1. Introduction to Data Engineering μ΄μ˜μ „ What is Data Engineering? #Data Engineering #Discussion
2 2023-04-09 Session 2. Data Sources and Data Collection μ΄λ™μš±, κΉ€μ„Έν˜„ How can we collect data from variaty sources? #Source Data #Data Collection #Data Type #Structured Data #Unstructured Data #Batch Data #Real-time Data
3 2023-04-16 Session 3. Data Transformation and Cleaning μ΄μ˜μ „ How can we transform data more efficiently? #Data Processing
4 2023-04-30 Session 4. Data Storage μ†‘μœ€ν˜Έ, 전희선 How can we store data more efficiently? #Data Store #Database #Data Lake #Lakehouse #Object-Storage #NoSQL
5 2023-05-07 Session 5. Data Processing Frameworks μ •κ²½λ₯œ, 이화림 How data processing framework help us? #Hadoop Eco-system #Parallel Computing
6 2023-05-14 Session 6. Data Processing Frameworks II κΉ€μ˜ˆμ‹ , μ΅œν•œμŠΉ Learn about various data processing framework #Apache Spark #Apache Kafka #Apache Storm #Apache Flink
7 2023-05-28 Session 7. Introduction to Apache Airflow κΉ€μ„±ν›ˆ, 이희민 How can we schedule, orchestrate data processing? #Apache Airflow #Tutorial
8 2023-06-04 Session 8. Cloud Computing and Data Engineering 이민행, μ΄μ˜μ „ What is Cloud Computing? and Why it is so important? #Cloud Computing #Multi-Cloud #Data Engineering
9 2023-06-18 Capstone Project 이화림 Let's dive into Data Engineering Capstone Proeject #Capstone Project
10 2023-07-09 - Project Management μ΄μ˜μ „, 전희선, μ •κ²½λ₯œ, μ΄λ™μš±, κΉ€μ˜ˆμ‹  Build Together! #Share #Motivation #Delighted to work together #Pseudo-Lab

About us πŸ‘‹πŸΌ

κ°€μ§œμ—°κ΅¬μ†ŒλŠ” λ¨Έμ‹ λŸ¬λ‹, 데이터 μ‚¬μ΄μ–ΈμŠ€, 데이터 μ—”μ§€λ‹ˆμ–΄λ§μ„ μ€‘μ‹¬μœΌλ‘œ λͺ¨μΈ λΉ„μ˜λ¦¬λ‹¨μ²΄μž…λ‹ˆλ‹€. λˆ„κ΅¬λ‚˜ μ›ν•˜λŠ” 연ꡬλ₯Ό ν•  수 μžˆλŠ” μ‹œμž‘μ μ΄ λ˜λŠ”, μ§„μ§œλ³΄λ‹€ 더 μ§„μ§œ 같은 μ—°κ΅¬μ†Œλ₯Ό 꿈꾸고 μžˆμŠ΅λ‹ˆλ‹€. 곡유(Share), 동기뢀여(Motivation), ν•¨κ»˜ν•˜λŠ” 즐거움(Delighted to work together)λΌλŠ” ν•΅μ‹¬κ°€μΉ˜λ₯Ό μΆ”κ΅¬ν•˜λ©° μ•½ 1800μ—¬ λͺ…μ˜ 연ꡬ원뢄듀이 μ˜€λŠ˜λ„ ν•¨κ»˜ λ¨Έμ‹ λŸ¬λ‹, 데이터 μ‚¬μ΄μ–ΈμŠ€, 데이터 μ—”μ§€λ‹ˆμ–΄λ§ 뢄야에 μ„ ν•œ 영ν–₯λ ₯을 ν–‰μ‚¬ν•˜κ³  μžˆμŠ΅λ‹ˆλ‹€. 보닀 μžμ„Έν•œ λ‚΄μš©μ€ μ—¬κΈ°μ„œ μ‚΄νŽ΄λ³΄μ‹€ 수 μžˆμŠ΅λ‹ˆλ‹€.

Contributors πŸ˜ƒ



License πŸ—ž

This project is licensed under MIT license.