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!

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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:Dec 28, 2025

Free Access

• Six weeks covering Spark, Flink, Data Modeling, and more!
• Automatic Graded Homework
• Get Certified

Platform Access Included:

Discord

GitHub

PrerequisitesCurricula

• Basic SQL and Python skills
• Exposure to Docker

• Basic SQL and Python skills
• Exposure to Docker

Main Content

Bootcamp Orientation0.7 hrs

• Bootcamp Kickoff
• Boot Camp Database Setup

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

• Data Pipeline Maintenance: Navigating the Complexities of Data Engineering Day 1 Lecture
• Data Pipeline Maintenance: Strategies for Maintenance and Dock Building Day 2 Lecture

KPIs and Experimentation2.6 hrs

• KPIs and Experimentation: Decoding Business Success: Metrics, Growth Strategies and Collaborative Approaches Day 1 Lecture
• KPIs and Experimentation: Setting up and Analysing Experiments Day 1 Lab
• KPIs and Experimentation: Leading and Lagging Metrics Day 2 Lecture

Data Quality Patterns1.8 hrs

• Data Quality Patterns: MIDAS Process from Airbnb Day 1 Lecture
• Data Quality Patterns: Spec-Building Document Day 1 Lab
• Data Quality Patterns: WAP Patterns Day 2 Lecture

Join Boot Camp: Community Edition (Free)