Analytics Engineering

DESIGN, BUILD AND DEPLOY DATA PIPELINES FOR THE CLOUD

analytics engineering training

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
  • $400 of free Snowflake credits

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

After the training

  • A group of peers to network with and learn from
  • A certificate of participation

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.

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