This boot camp will help you get the fundamentals needed to be a great data engineer!

I have led teams of data engineers and software engineers at Airbnb, Facebook, and Netflix. My next goal is to upskill as many data knowledge workers as I can!

Zach Wilson

Apache Spark Homework Submission

Apache Spark Data Quality Homework Submission

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

Analytical Patterns Homework Submission

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

Bootcamp Kickoff

Boot Camp Database Setup

Data Pipeline Maintenance Homework Submission

Data Pipeline Maintenance: Navigating the Complexities of Data Engineering Day 1 Lecture

Data Pipeline Maintenance: Strategies for Maintenance and Dock Building Day 2 Lecture

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

Data Visualization Submission

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

Dimensional Data Modeling Homework Submission

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 Modeling Assignment Submission

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

KPIs and Experimentation Homework Submission

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

Flink Homework Submission

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

DataExpert.io Community Academy

Our Courses and Cohorts

The Absolutely Free Beginner Data Engineering Boot Camp starting August 14th

Meet Our Instructor

Zach Wilson

Ready to Start Your Journey?

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