Alteryx Designer Cloud (Trifacta) - 2022
- Description
- Curriculum
- FAQ
- Reviews
Welcome! I’m here to help you learn how to use Alteryx Designer Cloud Powered by Trifacta
Data Engineering is one of the most in-demand skills you need to get hired in 2022. Knowing the right tools to help you prepare data for analysis, visualization, machine learning, and artificial intelligence is key to engineering roles.
In this course, you’ll learn how to use Alteryx Designer Cloud to build data engineering flows using Alteryx’ cloud engineering platform.
———————————–
Beginners welcome: no need to know anything about Alteryx or Trifacta!
We’ll cover all you need to know, from understanding the platform conceptually, creating a trial account, creating data engineering flows with the help of AI/ML suggestions, and running jobs.
———————————–
Already familiar with Alteryx Designer Desktop?
This course is still worth taking as, at present, Designer Desktop and Designer Cloud are two separate products. Early in 2022, Alteryx acquired Trifacta and branded its core product as Alteryx Designer Cloud Powered by Trifacta.
———————————–
Instructor
My name is Hendrik Kleine, and I’ll be your instructor in this course. I’ve been teaching analysts and engineers how to use Alteryx for some time now, and am the author of several best-selling courses and books on data pipeline topics.
With Alteryx’s acquisition of Trifacta early in 2022, Alteryx is taking a leap forward with regard to its cloud capabilities. And, with many new features brought in by Trifacta, a dedicated course is indeed appropriate to learn Alteryx Designer Cloud.
So, let’s start the course! You are in good hands!
———————————
Included with this course are:
- Lifetime access to all future updates
- Udemy Certificate of Completion Ready for Download
- A 30-Day Money-Back Guarantee! (Issued by Udemy)
Join me in this course if you want to master Alteryx Designer Cloud Powered by Trifacta, a data engineering cloud platform.
-
11
Delete ColumnsDeleting unwanted columns early in your flow is a key step for flow execution time optimization. In this video, you'll learn how to easily remove one, multiple, or ranges of columns in one simple step.
-
12
Rename Column
Learn how to rename one or multiple columns at once and use specialized options such as adding prefixes. suffixes or changing the case of column headers.
-
13
Change Column Data Type
Learn how to easily change the data type for one or multiple columns in your recipe.
-
14
Sort Rows
Sort rows by column, create nested sorts, and sort by metadata.
-
15
Deduplicate Data
Quickly deduplicate data based on values across the entire row. Or consult the documentation for more complex dedplication options.
-
16
Replace Empty Values & Imputation
Replace empty or null values in one or multiple columns with a predefined value.
-
17
Format Column
Apply text formatting cleanup actions, such as changing to UPPERCASE, removing whitespaces, adding prefixes, and more.
-
18
Filter Rows
Filter rows on a condition, remove duplicate rows, keep x rows from the top, keep a range of rows or keep every nth row.
-
19
Formula
The formula step can be used to create new fields using logic, refer to other columns and using functions.
-
20
Multi-Row Formula
Perform window calculations such as a rolling average, using a multi-row formula.
-
21
Count Matches
Learn how to use the Count Matches transformation to count occurrences of a subtext.
-
22
Create Column from Examples
You provide an example of the desired output, and Alteryx handles defining the transformation!
-
23
DateTime Formatting
Change the format of your Date or DateTime column.
-
24
RegEx
Use regular expressions or Trifacta patterns to find and extract substrings.
-
25
Split Column Values
Split a single column into multiple using a delimiter, position, or interval.
-
26
Merge Columns
Merge multiple columns into one and, optionally, add a delimiter.
-
27
Pivot
Change the orientation of your data, from rows to columns.
-
28
Unpivot
Change the orientation of your data, from columns to rows.
-
29
Aggregate
Aggregate your data and go from many rows and columns to a few.
-
30
Standardize (Fuzzy Matching)
Similar to fuzzy matching, cluster and standardize your data with ease.
