Boot Camp: Community Edition
Overview
Lessons
Credentials
Join the free community boot camp that covers everything you need to know to go from junior data engineer to senior data engineer!
Start Date
Nov 15, 2024
End Date
Dec 28, 2025
What You'll Learn
Six weeks covering Spark, Flink, Data Modeling, and more!
Automatic Graded Homework
Get Certified
Join the free community boot camp that covers everything you need to know to go from junior data engineer to senior data engineer!
Prerequisites
Basic SQL and Python skills
Exposure to Docker
Course Contents
1
Bootcamp Orientation
2
Dimensional Data Modeling
6 Lessons (4h 11m)
1 Assignment
Lessons
Dimensional Data Modeling Complex Data Type and Cumulation Day 1 Lecture *43m
43mDimensional Data Modeling Complex Data Type and Cumulation Day 1 Lab *41m
41mDimensional Data Modeling: Building Slowly Changing Dimensions Day 2 Lecture *40m
40mDimensional Data Modeling: Building Slowly Changing Dimensions Day 2 Lab *45m
45mDimensional Data Modeling: Graph Data Modeling Day 3 Lecture *34m
34mDimensional Data Modeling: Graph Data Modeling Day 3 Lab *46m
46m3
Fact Data Modeling
6 Lessons (3h 52m)
1 Assignment
Lessons
Fact Data Modeling: Core Concepts, Deduplication Day 1 Lecture *52m
52mFact Data Modeling: Practical Insights into Data Modeling Day 1 Lab *40m
40mFact Data Modeling: Core Elements in Data Modeling Day 2 Lecture *31m
31mFact Data Modeling: Compact Tables for Efficient Data Representation Day 2 Lab *45m
45mFact Data Modeling: Minimizing Shuffle and Reducing Facts Day 3 Lecture *32m
32mFact Data Modeling: Practical Guide to Formatting and Aggregating Data Day 3 Lab *30m
30mAssignments
4
Apache Spark Fundamentals
6 Lessons (3h 34m)
1 Assignment
Lessons
Apache Spark: Architecture, Optimization, and Best Practices Day 1 Lecture *48m
48mApache Spark: Hands-On for Broadcast and Hash Joins Day 1 Lab *26m
26mApache Spark: Managing Spark Jobs and Notebooks Day 2 Lecture *34m
34mApache Spark: User-Defined Functions and Broadcast Join Day 2 Lab *36m
36mUnit Testing Spark Jobs: Importance, Challenges, and Leadership Perspectives Lecture *41m
41mUnit Testing Spark Jobs: Mastering Spark and PySpark Testing Lab *27m
27mAssignments
5
Applying Analytical Patterns
4 Lessons (2h 45m)
1 Assignment
Lessons
Applying Analytical Patterns: Exploring SQL, Scaling Projects and Aggregation Analysis Day 1 Lecture *52m
52mApplying Analytical Patterns: Mastering Growth Accounting and Retention Analysis Day 1 Lab *34m
34mApplying Analytical Patterns: Recursive CTEs and Window Functions Day 2 Lecture *44m
44mApplying Analytical Patterns: Aggregations and Cardinality Reduction Day 2 Lab *33m
33mAssignments
6
Real-time pipelines with Flink and Kafka
5 Lessons (2h 48m)
1 Assignment
Lessons
Flink Lab Setup *7m
7mStreaming Pipelines: Mastering Streaming and Real-time Pipelines Day 1 Lecture 50m
50mStreaming Pipelines: Setting up Streaming Pipelines Day 1 Lab 40m
40mStreaming Pipelines: Exploring Data Collection and Processing Day 2 Lecture *31m
31mStreaming Pipelines: Kafka, Postgres, Spark Integrations and Parallelism Day 2 Lab 39m
39mAssignments
7
Data Visualization and Impact
4 Lessons (1h 49m)
1 Assignment
Lessons
Data Visualization and Impact: Mastering Data Engineering Day 1 Lecture *39m
39mData Visualization and Impact: Hands-On with the CSV files Day 1 Lab *8m
8mData Visualization and Impact: Insights and Best Practices Day 2 Lecture *23m
23mData Visualization and Impact: Exploring Data Visualization and Aggregation Techniques Day 2 Lab *37m
37mAssignments
8
Data Pipeline Maintenance
2 Lessons (2h 24m)
1 Assignment
9
KPIs and Experimentation
3 Lessons (2h 37m)
1 Assignment
Lessons
Assignments
10
Data Quality Patterns
3 Lessons (1h 46m)
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