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Microsoft Power BI For Dummies [Pehme köide]

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  • Formaat: Paperback / softback, 416 pages, kõrgus x laius x paksus: 229x183x25 mm, kaal: 544 g
  • Ilmumisaeg: 04-Apr-2022
  • Kirjastus: For Dummies
  • ISBN-10: 1119824877
  • ISBN-13: 9781119824879
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  • Formaat: Paperback / softback, 416 pages, kõrgus x laius x paksus: 229x183x25 mm, kaal: 544 g
  • Ilmumisaeg: 04-Apr-2022
  • Kirjastus: For Dummies
  • ISBN-10: 1119824877
  • ISBN-13: 9781119824879
Teised raamatud teemal:

Reveal the insights behind your company’s data with Microsoft Power BI 

Microsoft Power BI allows intuitive access to data that can power intelligent business decisions and insightful strategies. The question is, do you have the Power BI skills to make your organization’s numbers spill their secrets  

In Microsoft Power BI For Dummies, expert lecturer, consultant, and author Jack Hyman delivers a start-to-finish guide to applying the Power BI platform to your own firm’s data. You’ll discover how to start exploring your data sources, build data models, visualize your results, and create compelling reports that motivate decisive action. 

  • Tackle the basics of Microsoft Power BI and, when you’re done with that, move on to advanced functions like accessing data with DAX and app integrations 
  • Guide your organization’s direction and decisions with rock-solid conclusions based on real-world data 
  • Impress your bosses and confidently lead your direct reports with exciting insights drawn from Power BI’s useful visualization tools 

It’s one thing for your company to have data at its disposal. It’s another thing entirely to know what to do with it. Microsoft Power BI For Dummies is the straightforward blueprint you need to apply one of the most powerful business intelligence tools on the market to your firm’s existing data.  

Introduction 1(6)
About This Book
2(1)
Foolish Assumptions
3(1)
Icons Used in This Book
4(1)
Beyond the Book
5(2)
Part 1: Put Your BI Thinking Caps On 7(58)
Chapter 1 A Crash Course in Data Analytics Terms: Power BI Style
9(14)
What Is Data, Really?
10(2)
Working with structured data
10(1)
Looking at unstructured data
11(1)
Adding semistructured data to the mix
11(1)
Looking Under the Power BI Hood
12(3)
Posing questions with Power Query
13(1)
Modeling with Power Pivot
14(1)
Visualizing with Power View
14(1)
Mapping data with Power Map
14(1)
Interpreting data with Power Q&A
14(1)
Power BI Desktop
15(1)
Power BI Services
15(1)
Knowing Your Power BI Terminology
15(6)
Capacities
16(1)
Workspaces
16(2)
Reports
18(1)
Dashboards
19(1)
Navigation pane
20(1)
Business Intelligence (BI): The Definition
21(2)
Chapter 2 The Who, How, and What of Power BI
23(10)
Highlighting the Who of Power BI
24(3)
Business analyst
24(1)
Data analyst
24(1)
Data engineer
25(1)
Data scientist
26(1)
Database administrator
26(1)
Understanding How Data Comes to Life
27(4)
Prepare
27(1)
Model
28(1)
Visualize
29(1)
Analyze
30(1)
Manage
30(1)
Examining the Various Types of Data Analytics
31(1)
Taking a Look at the Big Picture
32(1)
Chapter 3 Oh, the Choices: Power BI Versions
33(14)
Why Power BI versus Excel?
33(2)
Power BI Products in a Nutshell
35(3)
Introducing the Power BI license options
35(1)
Looking at Desktop versus Services options
36(2)
Stacking Power BI Desktop against Power BI Free
38(1)
Examining the Details of the Licensing Options
38(6)
Seeing how content and collaboration drive licensing
39(1)
Starting with Power BI Desktop
40(1)
Adding a Power BI Free license
41(1)
Upgrading to a Power BI Pro license
42(1)
Going all in with a Power BI Premium license
43(1)
On the Road with Power BI Mobile
44(1)
Working with Power BI Report Server
45(1)
Linking Power BI and Azure
46(1)
Chapter 4 Power BI: The Highlights
47(18)
Power BI Desktop: A Top-Down View
47(8)
Ingesting Data
49(1)
Files or databases?
49(3)
Building data models
52(1)
Analyzing data
53(1)
Creating and publishing items
54(1)
Services: Far and Wide
55(12)
Viewing and editing reports
56(4)
Working with dashboards
60(1)
Collaborating inside Power BI Services
61(1)
Refreshing data
62(3)
Part 2: It's Time To Have A Data Party 65(62)
Chapter 5 Preparing Data Sources
67(18)
Getting Data from the Source
67(5)
Managing Data Source Settings
72(1)
Working with Shared versus Local Datasets
73(3)
Storage Modes
76(1)
Dual mode
77(1)
Considering the Query
77(4)
Addressing and correcting performance
79(1)
Diagnosing queries
80(1)
Exporting Power BI Desktop Files and Leveraging XMLA
81(4)
Chapter 6 Getting Data from Dynamic Sources
85(18)
Getting Data from Microsoft-Based File Systems
86(1)
Working with Relational Data Sources
87(5)
Importing data from a relational data source
89(2)
The good ol' SQL query
91(1)
Importing Data from a Nonrelational Data Source
92(1)
Importing JSON File Data into Power BI
93(2)
Importing Data from Online Sources
95(2)
Creating Data Source Combos
97(2)
Connecting and importing data from Azure Analysis Services
98(1)
Accessing data with Connect Live
99(1)
Dealing with Modes for Dynamic Data
99(1)
Fixing Data Import Errors
100(3)
"Time-out expired"
100(1)
"The data format is not valid"
101(1)
"Uh-oh - missing data files"
101(1)
"Transformation isn't always perfect"
102(1)
Chapter 7 Cleansing, Transforming, and Loading Your Data
103(24)
Engaging Your Detective Skills to Hunt Down Anomalies and Inconsistencies
104(3)
Checking those data structures and column properties
105(1)
Finding a little help from data statistics
106(1)
Stepping through the Data Lifecycle
107(4)
Resolving inconsistencies
108(3)
Evaluating and Transforming Column Data Types
111(10)
Finding and creating appropriate keys for joins
111(2)
Shaping your column data to meet Power Query requirements
113(2)
Combining queries
115(6)
Tweaking Power Query's M Code
121(2)
Configuring Queries for Data Loading
123(2)
Resolving Errors During Data Import
125(2)
Part 3: The Art And Science Of Power BI 127(120)
Chapter 8 Crafting the Data Model
129(16)
An Introduction to Data Models
129(10)
Working with data schemas
130(4)
Storing values with measures
134(2)
Working with dimensions and fact tables (yet again)
136(1)
Flattening hierarchies
137(2)
Dealing with Table and Column Properties
139(2)
Managing Cardinality and Direction
141(3)
Cardinality
142(1)
Cross-filter direction
142(2)
Data Granularity
144(1)
Chapter 9 Designing and Deploying Data Models
145(22)
Creating a Data Model Masterpiece
145(14)
Working with Data view and Modeling view
146(3)
Importing queries
149(1)
Defining data types
150(1)
Handling formatting and data type properties
151(2)
Managing tables
153(5)
Adding and modifying data to imported, DirectQuery, and composite models
158(1)
Managing Relationships
159(3)
Creating automatic relationships
159(1)
Creating manual relationships
160(1)
Deleting relationships
160(1)
Classifying and codifying data in tables
161(1)
Arranging Data
162(2)
Sorting by and grouping by
162(1)
Hiding data
162(2)
Working with Extended Data Models
164(2)
Knowing the calculation types
164(1)
Working with column contents and joins
165(1)
Publishing Data Models
166(1)
Chapter 10 Perfecting the Data Model
167(16)
Matching Queries with Capacity
168(15)
Deleting unnecessary columns and rows
168(1)
Swapping numeric columns with measures and variables
169(1)
Reducing cardinality
170(2)
Reducing queries
172(1)
Converting to a composite model
173(1)
Creating and managing aggregations
174(9)
Chapter 11 Visualizing Data
183(30)
Looking at Report Fundamentals and Visualizations
183(22)
Creating visualizations
184(1)
Choosing a visualization
185(1)
Filtering data
185(3)
Working with Bar charts and Column charts
188(5)
Using basic Line charts and Area charts
193(1)
Combining Line charts and Bar charts
193(2)
Working with Ribbon charts
195(1)
Going with the flow with Waterfall charts
195(2)
Funneling with Funnel charts
197(1)
Scattering with Scatter charts
198(1)
Salivating with Pie charts and Donut charts
198(1)
Branching out with treemaps
199(1)
Mapping with maps
200(1)
Indicating with indicators
201(4)
Dealing with Table-Based and Complex Visualizations
205(3)
Slicing with slicers
205(1)
Tabling with table visualizations
205(1)
Combing through data with matrices
206(1)
Decomposing with decomposition trees
206(1)
Zooming in on key influencers
207(1)
Dabbling in Data Science
208(2)
Questions and Answers
210(3)
Chapter 12 Pumping Out Reports
213(20)
Formatting and Configuring Report Visualizations
213(8)
Working with basic visualization configurations
215(5)
Applying conditional formatting
220(1)
Filtering and Sorting
221(2)
Configuring the Report Page
223(1)
Refreshing Data
224(9)
Working with reports
225(1)
Finding migrated data
226(2)
Exporting reports
228(1)
Perfecting reports for distribution
229(4)
Chapter 13 Diving into Dashboarding
233(14)
Configuring Dashboards
234(1)
Creating a New Dashboard
234(2)
Enriching Your Dashboard with Content
236(2)
Pinning Reports
238(2)
Customizing with Themes
240(1)
Working with Dashboard Layouts
241(2)
Integrating Q&A
243(1)
Setting Alerts
244(3)
Part 4: Oh, No! There's A Power BI Programming Language! 247(78)
Chapter 14 Digging Into DAX
249(16)
Discovering DAX
249(9)
Peeking under the DAX hood
250(3)
Working with calculations
253(5)
Dealing with Data Types
258(2)
Operating with Operators
260(3)
Ordering operators
262(1)
Parentheses and order
262(1)
Making a Statement
263(1)
Ensuring Compatibility
263(2)
Chapter 15 Fun with DAX Functions
265(24)
Working with DAX Parameters and Naming Conventions
265(2)
Prefixing parameter names
266(1)
Playing with parameters
267(1)
Using Formulas and Functions
267(22)
Aggregate functions
268(1)
Date-and-time functions
269(2)
Filter functions
271(1)
Financial functions
271(3)
Information functions
274(2)
Logical functions
276(1)
Mathematical and trigonometric functions
277(2)
Other functions
279(1)
Parent-child functions
279(1)
Relationship functions
280(1)
Statistical functions
280(3)
Table manipulation functions
283(2)
Text functions
285(1)
Time intelligence functions
286(3)
Chapter 16 Digging Deeper into DAX
289(16)
Working with Variables
289(1)
Writing DAX Formulas
290(7)
Understanding DAX formulas in depth
290(1)
Extending formulas with measures
290(6)
Comparing measures and columns
296(1)
Syntax and context
296(1)
The syntax of an expression
297(1)
Best Practices for DAX Coding and Debugging in Power BI
297(8)
Using error functions properly
298(1)
Avoiding converting blanks to values
298(2)
Knowing the difference between operators and functions
300(1)
Getting specific
301(1)
Knowing what to COUNT
302(1)
Relationships matter
303(1)
Keeping up with the context
303(1)
Preferring measures over columns
303(1)
Seeing that structure matters
304(1)
Chapter 17 Sharing and the Power BI Workspace
305(20)
Working Together in a Workspace
305(8)
Defining the types of workspaces
306(2)
Figuring out the nuts and bolts of workspaces
308(5)
Creating and Configuring Apps
313(1)
Slicing and Dicing Data
314(4)
Analyzing in Excel
316(1)
Benefiting from Quick Insights
316(1)
Using Usage Metric reports
317(1)
Working with paginated reports
318(1)
Troubleshooting the Use of Data Lineage
318(3)
Datasets, Dataflows, and Lineage
321(1)
Defending Your Data Turf
322(3)
Part 5: Enhancing Your Power BI Experience 325(42)
Chapter 18 Making Your Data Shine
327(16)
Establishing a Schedule
327(4)
Rolling out the scheduled refresh
328(1)
Refreshing on-premises data
329(2)
Protecting the Data Fortress
331(3)
Configuring for group membership
331(2)
Making role assignments in Power BI Services
333(1)
Sharing the Data Love
334(1)
Refreshing Data in Baby Steps
335(4)
Creating RangeStart and RangeEnd parameters
335(1)
Filtering by RangeStart and RangeEnd
336(2)
Establishing the Incremental Refresh policy
338(1)
Treating Data Like Gold
339(2)
Configuring for Big Data
341(2)
Chapter 19 Extending the Power BI Experience
343(24)
Linking Power Platform and Power BI
343(1)
Powering Up with Power Apps
344(7)
Creating Power App visuals with Power BI
346(4)
Acknowledging the limitations of Power Apps/Power BI integration
350(1)
Introducing the Power BI Mobile app
350(1)
Integrating OneDrive and Power BI
351(3)
Collaboration, SharePoint, and Power BI
354(4)
Differentiating between the classic and modern SharePoint experience
354(1)
Integrating Power BI into SharePoint 365
355(1)
Viewing Power BI reports in SharePoint
356(2)
Automating Workflows with Power BI
358(6)
Configuring prebuilt workflows for Power BI
359(3)
Using the Power Automate Visual with Power BI
362(2)
Unleashing Dynamics 365 for Data Analytics
364(3)
Part 6: The Part Of Tens 367(22)
Chapter 20 Ten Ways to Optimize DAX Using Power BI
369(10)
Focusing on Logic
369(1)
Formatting Your Code
370(1)
Keeping the Structure Simple (KISS)
371(1)
Staying Clear of Certain Functions
372(1)
Making Your Measures Meaningful
373(1)
Filtering with a Purpose
374(1)
Transforming Data Purposefully
374(1)
Playing Hide-and-Seek with Your Columns
375(1)
Using All Those Fabulous Functions
376(1)
Rinse, Repeat, Recycle
376(3)
Chapter 21 Ten Ways to Make Compelling Reports Accessible and User-Friendly
379(10)
Navigating the Keyboard
380(1)
Having a Screen Reader As Your Companion
380(1)
Standing Out with Contrast
380(1)
Recognizing Size Matters (with Focus Mode)
381(1)
Switching between Data Tables and Visualizations
382(1)
A Little Extra Text Goes a Long Way
383(1)
Setting Rank and Tab Order
384(1)
It's All About Titles and Labels
384(2)
Leaving Your Markers
386(1)
Keeping with a Theme
387(2)
Index 389
Jack Hyman is Chief Executive Officer of HyerTek, an IT consulting firm specializing in Microsofts business platforms. He is Associate Professor in the Computer Information Sciences department at the University of the Cumberlands. He has written several books in the For Dummies series, as well as certification study guides for the Microsoft Azure technology.