Description

Pavel Nacev – Advanced Tableau – Data Model – CFI Education review, Pavel Nacev – Advanced Tableau – Data Model – CFI Education download, Pavel Nacev – Advanced Tableau – Data Model – CFI Education free

Pavel Nacev – Advanced Tableau – Data Model – CFI Education

Advanced Tableau – Data Model

Discover the pros and cons of various data modeling approaches in Tableau, including joins, relationships, and blends.

• Understand the conceptual differences between each data modeling approach
• Understand the performance benefits of joins and relationships in specific scenarios
• Trail and test joins, relationships, and blends to pick an optimal modeling method

Overview
Advanced Tableau – Data Model overview
This Advanced Tableau course provides next-level training for structuring and connecting data in Tableau to build elegant and professional models.

In this course, you’ll combine related data using joins, relationships, and blends to bring data into visuals. We’ll work through a scenario with evolving business requirements. These requirements will need more and more data added to our model as we progress. Each time you do this, you’ll be introduced to new options for joining, relating, and blending data, common problems, and methods for optimizing your data model for performance.

By the end, you’ll have learned to think more carefully about the structure of your data, the types of connections you should use, and the performance options that are best for your data.

Advanced Tableau – Data Model learning objectives

Upon completing this course, you will be able to:

• Build a basic data model using Tableau’s relationship feature
• Optimize data model relationships using performance tuning
• Differentiate between joins, relationships, and blends
• Adapt a data model based on an expanding set of requirements
• Deal with common issues like nulls, many-to-many relationships, one-to-one relationships, and filtering
• Understand how ETL tools can make life easier to create an optimal Star Schema

Who Should Take This Course?
This Tableau course is perfect for professionals who have a solid understanding of data analysis and want to expand their skill set to include basic data engineering in Tableau. This course is designed to equip anyone who desires to begin a career in business analysis—or other roles that require displaying and analyzing data sets—with the advanced skills to create dynamic data-viewing experiences.

What you’ll learn 

• Lesson
• Multimedia
• Exams
• Files

Introduction
Course Introduction
Learning Objectives
Download Student Files

A Basic Data Model
Chapter Intro – A Basic Data Model
What Is Tableau’s Data Model
Scenario Requirements & Data
Build a Basic Data Model
Row-level Calculations Using a Dimension
Basic Tree Map
Other Data and Course Scenarios

Exploring the Data Model
Chapter Introduction – Exploring the Data Model
Learning Points and Manager Data Scenario
Shipping Data – Requirements & Available Data
Returns Data – Requirements & Available Data
Targets – Requirements & Available Data
When to Join, Relate or Blend

ETL & Star Schema
Chapter Introduction – Data Model Review
Remodel the Many to Many Relationship
Remodel the Keys
Remodel the Fact Table
What is Tableau Prep
Remodeling in Tableau Prep
Star Schema Creation in Tableau Prep
Data Model Review

Course Review
Conclusion

Qualitative Assessment
Qualitative Assessment

What our students say

It was enlightening. I enjoyed every bit
The course was very detailed, and the instructor was so on point
Olanike AROWOLO

Well presented
This course clarifies a lot of things about tableau data models
Patrick Ramano

Very Informative
The course taught me many different ways to look at data and how to filter and manage calculations to arrive at the right answer
Scott LaBrec

Our Policies

A. Product Quality

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We sure that your problem will be support as soon as possible.

B. Digital Shipping Proceess

After your payment, we will review your payment, Then, we will send you PCLOUD LINK OF COURSES through email in 3 – 8 hours. If any issue, we will inform you as soon as possible.