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Analytics Engineering
DESIGN, BUILD AND DEPLOY DATA PIPELINES FOR THE CLOUD
Analytics engineering is the data transformation work that happens between loading data into your warehouse and analyzing it. In this training, the Tropos team will teach analysts how to use DBT to manage that workflow.
The only technical prerequisite is a working knowledge of SQL. Prior familiarity with the command line and version control is helpful but not necessary.
- Cloud Basics
- Data Modeling Strategies
- Automated Testing
- Data Warehousing
- Maintaining DRY code
- Performance Optimization
WHAT YOU CAN EXPECT FROM THE TRAINING
Before the training
- Interactive tutorial for getting started with dbt on Snowflake
- Primers for SQL Foundations and Bash/Git
During the training
- A two-day course, taught by instructors from Tropos.io
- Integrated working sessions for hands-on exploration of dbt features
- Dedicated time for questions and side-by-side pairing
- Access to presentations and a curated list of additional resources
After the training
- A cohort of peers to network with and learn from
- Two weeks post-program to ask your instructors for support
- A verified certificate
WHO SHOULD ATTEND?
The course is open to students with working SQL knowledge
- BI Developers
- Data Engineers
- Devops Engineers
- New Hires
ANALYTICS ENGINEERING FOR MAJOR CLOUD DATA WAREHOUSES
During the training, we will use Snowflake as a data warehouse. However, the techniques you will learn can be applied to all major cloud-first data warehouses.
