Boot Camp: Community Edition
Join the free community boot camp that covers everything you need to know to go from junior data engineer to senior data engineer!
Start:Nov 15, 2024
End:Jun 30, 2026
Free Access
- Six weeks covering Spark, Flink, Data Modeling, and more!
- Automatic Graded Homework
- Get Certified
Platform Access Included:
Discord
GitHub- Basic SQL and Python skills
- Exposure to Docker
- Basic SQL and Python skills
- Exposure to Docker
Main Content
Bootcamp Orientation0.7 hrs
Dimensional Data Modeling4.2 hrs
- Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lecture
- Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lab
- Dimensional Data Modeling: Building Slowly Changing Dimensions Day 2 Lecture
- Dimensional Data Modeling: Building Slowly Changing Dimensions Day 2 Lab
- Dimensional Data Modeling: Graph Data Modeling Day 3 Lecture
- Dimensional Data Modeling: Graph Data Modeling Day 3 Lab
Fact Data Modeling3.9 hrs
- Fact Data Modeling: Core Concepts, Deduplication Day 1 Lecture
- Fact Data Modeling: Practical Insights into Data Modeling Day 1 Lab
- Fact Data Modeling: Core Elements in Data Modeling Day 2 Lecture
- Fact Data Modeling: Compact Tables for Efficient Data Representation Day 2 Lab
- Fact Data Modeling: Minimizing Shuffle and Reducing Facts Day 3 Lecture
- Fact Data Modeling: Practical Guide to Formatting and Aggregating Data Day 3 Lab
Apache Spark Fundamentals3.6 hrs
- Apache Spark: Architecture, Optimization, and Best Practices Day 1 Lecture
- Apache Spark: Hands-On for Broadcast and Hash Joins Day 1 Lab
- Apache Spark: Managing Spark Jobs and Notebooks Day 2 Lecture
- Apache Spark: User-Defined Functions and Broadcast Join Day 2 Lab
- Unit Testing Spark Jobs: Importance, Challenges, and Leadership Perspectives Lecture
- Unit Testing Spark Jobs: Mastering Spark and PySpark Testing Lab
Applying Analytical Patterns2.8 hrs
- Applying Analytical Patterns: Exploring SQL, Scaling Projects and Aggregation Analysis Day 1 Lecture
- Applying Analytical Patterns: Mastering Growth Accounting and Retention Analysis Day 1 Lab
- Applying Analytical Patterns: Recursive CTEs and Window Functions Day 2 Lecture
- Applying Analytical Patterns: Aggregations and Cardinality Reduction Day 2 Lab
Real-time pipelines with Flink and Kafka2.8 hrs
- Flink Lab Setup
- Streaming Pipelines: Mastering Streaming and Real-time Pipelines Day 1 Lecture
- Streaming Pipelines: Setting up Streaming Pipelines Day 1 Lab
- Streaming Pipelines: Exploring Data Collection and Processing Day 2 Lecture
- Streaming Pipelines: Kafka, Postgres, Spark Integrations and Parallelism Day 2 Lab
Data Visualization and Impact1.8 hrs
- Data Visualization and Impact: Mastering Data Engineering Day 1 Lecture
- Data Visualization and Impact: Hands-On with the CSV files Day 1 Lab
- Data Visualization and Impact: Insights and Best Practices Day 2 Lecture
- Data Visualization and Impact: Exploring Data Visualization and Aggregation Techniques Day 2 Lab
Data Pipeline Maintenance2.4 hrs
KPIs and Experimentation2.6 hrs
Interested but not ready?