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IT: Programming & Software Development
Data Modeling, Storage, and Pipelines
Curriculum
1 Section
21 Lessons
30 hours
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Unit 2 — Data Modeling, Storage, and Pipelines
21
1.1
Summary
20 mins
1.2
Data Modeling
20 mins
1.3
Normalization
20 mins
1.4
Denormalization
20 mins
1.5
Data Modeling Best Practices
20 mins
1.6
Database Optimization
20 mins
1.7
Summary
20 mins
1.8
Data Warehouses
20 mins
1.9
Data Marts
20 mins
1.10
Data Lakes
20 mins
1.11
Data Lakehouse
20 mins
1.12
The Key Differences Between a Database, Data Warehouse, Data Lake, and Data Lakehouse
20 mins
1.13
Summary
20 mins
1.14
Batch Pipelines
20 mins
1.15
Stream Pipelines
20 mins
1.16
Lambda Architecture
20 mins
1.17
Data Orchestration
20 mins
1.18
Lab: Building an ETL Pipeline and Automating with Apache Airflow
20 mins
1.19
Summary
20 mins
1.20
Bad Data
20 mins
1.21
Dimensions of Data Quality
20 mins
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