DataExpert.io Community Academy
This boot camp will help you get the fundamentals needed to be a great data engineer!
What Our Students Say
Shahbaz Qaiser
Student"Truly outstanding—no doubt about the quality of the content. An excellent opportunity to learn from an expert Data Engineer with hands-on experience managing massive datasets. The most valuable part was seeing how he solved real-world challenges for leading Big Tech companies and Tips & Tricks he shared in his shorts."
Gerhard Van Wyk
Data Analyst at Henry Schein"Great course for beginners. I'm a data analyst interested in data engineering so this course is a really good introduction. It's nice that Zach is slowing down the pace and explaning in detail."
chinnu venkat
Student"Not clear of the course, its very vague. Please structure the course clearly"
Mohamed Nady
Student"I feel like the program is designed for beginner level. So I have moved to community boot camp. Where i found out that i could enriched my skills. However the free beginners boot camp is amazing and focus on fundamental"
Bouzid Imad
Student"I enjoy the community bootcamp it's given you a general idea about data engineering and important topic like data modelling spark kafka flink. no need to pay for courses that give poor stuff, thank you zack for this amazing journey if you want to learn this stuff in cloud i highly recommend to buy zack's courses"
Ricardo Morales
Data Analyst at Native Intelligence"The content is well-structured. I took the free community bootcamp, and it clearly depicts the importance, impact, and reach of data engineering. Every part of it is very well documented, from the setup guides to get started to the final module, and the AI grader is an excellent tool for those who complete it independently. The explanation of the topics is very concise and helps in understanding the real use of each technique. Highly recommended!"
Explore Our Featured Programs
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!
- 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
The Vibe Coding Challenge
Master vibe coding over two days and build an entire SaaS product!
- A full capstone project that is graded
- Three hands on assignments to sharpen your skills
- Free AI credits to learn with
- A desire to learn
