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DE4E: Data Engineering for Everybody
π Check List
1. Introduction to Data Engineering
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1.4. λ°μ΄ν° μμ§λμ΄λ μ΄λ€ κ³ λ―Όμ ν κΉ?
Recap
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2. Data Source and Data Collection
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2.5 π» Index μ€μ΅
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3. Data Transformation and Cleaning
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4. Data Storage
4.1 data warehouse / data lake / data lakehouse
4.2 Data Warehouse
4.3 Data Mart
4.4 Data Lake
4.5 Data Lakehouse
4.6 π» Data Pipeline μ€μ΅
4.7 Databases
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5. Data Processing Frameworks I
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5.9 Hadoop
5.10 Hadoop Ecosystem
5.11 HDFS
5.12 MapReduce
π» MapReduce μ€μ΅
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6. Data Processing Frameworks II
6.1 Stream Processing Framework
6.2 μνμΉ μ€νν¬(Apache Spark)
π» μ€μ΅: μνμΉ μ€νν¬
6.3 μνμΉ μΉ΄νμΉ΄ (Apache Kafka)
6.4 μνμΉ μ€ν° (Apache Storm)
6.5 μνμΉ νλ§ν¬ (Apache Flink)
6.6 λ°μ΄ν° μ²λ¦¬λ°©λ² λΉκ΅
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7. Introduction to Apache Airflow
7.1 Introduction to Apache Airflow
7.2 Airflow Executor
7.3 Airflow Use Cases
7.4 Airflow Hands-On
π» μ€μ΅: Airflow
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8. Cloud Computing and Data Enginnering
8.1 Cloud Computing
8.2 Data Engineering
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8.4.
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8.5.
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π Project - MovieFlix
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2. Infra
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4. Data Flow
5. Monitoring
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Repository
Open issue
.md
.pdf
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