In this course we will be covering advanced tips and best practices that we have developed over several years of consulting for 300+ customers.

First of all, we will be talking about advanced features in Storage, starting with explanation of architecture, describing table and file storage plus showing you storage operations like delete, create and update. Secondly, we will tell you best practices when creating Snowflake transformation (writing SQL code in a Snowflake database) or Python code. Last but not least, you will understand incremental processing and how to build incremental data flow.

After completing this course, you will be able to avoid most common mistakes when working in KBC.

The course is a part of these certificates: Data Engineer, Sr Data Engineer, Data Scientist

Total Video Lessons Length: 125 Minutes

Time for your notes, coffee breaks (or tea breaks if you prefer), video replays: N/A (individual)

Assignment Length: 45 - 90 Minutes

Course curriculum

  • 1

    Best Practices and Tips

    • Introduction and Architecture Explanation

    • Storage Part 1

    • Storage Part 2

    • Development Branches

    • Snowflake Transformation Tips

    • ** Note

    • Dependencies and Phases

    • Data Science Transformations

    • Variables

    • Shared Code

    • Workspaces

    • Input & Output Mapping Incremental

    • Orchestrations

    • Assignment Overview

    • Assignment

    • Resources

    • Course Feedback