Online Training

  • Chapter 1: Introduction to Trifacta Wrangler

    Overview Our online training is designed to give you a well-rounded knowledge of Trifacta's transformation capabilities. The course is broken up into several individual lessons each containing three or more smaller chapters covering a wide variety of concepts. This is a hands-on lab and includes downloads of datasets and step-by-step instructions. To get started, you'll want to download …

  • Chapter 2: Basic Operations

    Overview In Chapter 2, we will cover basic operations like filtering, splitting, replacing, and extracting data. We will also cover counting patterns and conditional statements. Lessons: Lesson A - Uploading and Filtering Data Lesson B - String Operations Lesson C - Data Types and Working with Mismatched Data Lesson D - More Conditional Statements Lesson A: Uploading and Filter…

  • Chapter 3: Intermediate Operations

    Overview In Chapter 3, we will cover intermediate operations like aggregates, unions, joins, pivots, unpivots, and valuestocols. Lessons: Lesson A - Aggregate Lesson B - Union Lesson C - Join Lesson D - Pivot, Unpivot, and Valuestocols Lesson A: Aggregate In this lesson, you will: Use the Aggregate Transform to create data summarization Create a Flat Aggregate Video Do…

  • Chapter 4: Advanced Operations

    Overview In Chapter 4, we will cover advanced operations like window functions, creating rows from existing data, and creating columns from existing data without the split transform. Lessons: Lesson A - Window Functions Lesson B - Creating Rows from Existing Data Lesson C - Creating Columns from Existing Data Lesson A: Window Functions In this lesson, you will: Learn to perform r…

  • Chapter 5: Use Case

    Now that you have completed the main portion of Online Training, we would like you to go on and try out a few Use Case's on your own. You can follow the lab guides and consult the Recipe Steps when needed.         Chapters: 6A - Use Case Application 6B - Preparing and Pivoting Data 6C - Application of Techniques in Customer Use Case …