English | MP4 | AVC 1280×720 | AAC 44KHz 2ch | 4 Hours | 1.97 GB
Learn how to clean, optimize and model data tables to develop effective, insightful and actionable Power BI reports
This course covers in detail the query editor and how to develop effective Power BI data models. When starting out with Power BI you can sometimes overlook how important these two areas inside of Power BI are to developing an effective reporting solution. This course makes sure that you can see the immense value of doing work in these areas right can be. Covered are intermediate to advanced techniques that will enable you to optimize your raw data tables and then connect them into a functioning analytical model that you can ultimately overlay DAX formula to and get the correct results, that will answer your analytical questions.
- Details of what you will learn during this course
- Learn – best practice techniques when using the query editor
- Learn – how to work with ‘M’ code and the advanced editor
- Understand – the row and column query transformation options
- Implement – advanced data cleaning and transformation techniques
- Work – through end to end examples of querying multiple tables
- Learn – how to think about and manage the data model
- Learn – effective techniques applicable to any data scenario
- Apply – advanced data modeling techniques to your own models
- Understand – advanced modeling scenarios and situations
- Learn – how to effectively organize your models
What you’ll learn
- Utilize the query editor to clean up and optimize your raw data tables
- Learn the great functionality hidden away in the query editor
- Implement advanced transformation techniques to improve your solutions
- Organize your queries so you can manage complexity
- Manage tables of data from multiple different data sources
- Design and execute on an effective data model
- Analytical think about your data model and then create the correct relationships
- Lay out your data model so it is designed intuitively
- Implement data models over unique data scenarios
Table of Contents
Resource Pack
1 Resource – Data Transformations and Modeling in Power BI
Introduction
2 My best practice tips for the query editor & data model
3 Why you always need to use the query editor
4 How to bring in data to the query editor
5 Tips and techniques to work through in the query editor
6 Understanding M code
7 How to fix things if they fall over in here
8 How to organize the query editor well
Data transformation examples
9 Column transformations
10 Row transformations
11 Filtering tables for unrequired data
12 Creating and modifying a date table
Advanced transformation and querying techniques
13 Staging queries
14 Appending queries
15 Merging or joining your queries
16 Unpivoting your tables
17 Columns from examples
18 Custom & conditional columns
19 Creating & using parameters
20 Custom functions
21 Bringing advanced transformations together
Designing advanced data models
22 What are we trying to achieve with the data model
23 Best practice tips for setting up the data model
24 Setting up complex models
25 What to do if you don’t have a lookup table
26 Measure tables groups
27 Intermediary tables
28 Supporting tables
29 Scenario tables (‘what if’ parameters)
30 Adding dimensions to lookup tables
31 Multi layered models
Advanced modeling concepts
32 Active vs inactive relationships
Optimising your models
33 How you can improve your models
34 How to reduce the file size of your models
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