DataExpert.io Community AcademyThis boot camp will help you get the fundamentals needed to be a great data engineer!Please review our academy policies before buying
DataExpert.io Community Academy
This boot camp will help you get the fundamentals needed to be a great data engineer!
Please review our academy policies before buying
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!
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
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 Absolutely Free Beginner Data Engineering Boot Camp starting August 14th
This boot camp will take you from zero to data engineering hero in 4 weeks
Free Access
Platform Access Included:
DiscordGitHub- You have a pulse