Power BI: 3 in 1- Comprehensive Guide of Tips and Tricks to Learn the Functions of Power BI+ Simple and Effective Strategies+ Advanced Guide to Learn the Advanced Realms of Power BI
Thanks to Power BI, Excel can also analyze and prepare large amounts of data. With this book, you get everything you need for everyday work: comprehensive and understandable explanations based on clear, practical scenarios. I will show you how to handle raw data from different data sources and how to clean, link, analyze and visualize them. You will find out how you can efficiently combine Functions with Power Query, Power Pivot, Power BI Desktop, and how to use business intelligence profitably for your company!
It is aimed at any professional who needs to report and perform data analysis efficiently. You do not need to have an analyst position in your work portfolio. Even if you already have experience with Power BI, you are sure to get important resources out of this book.
As I mentioned above, in this book, you will learn the data analysis process using Power BI Functions and Tools, from how to install and how to schedule automatic updating of your reports to perform analytics.
As with every new skill, learning Power BI requires some effort. I have structured the book in such a way that you can master and apply everything in the book in a systemic way.
Once complete, you’ll be able to use this knowledge in your company and reap the results of high-quality reports, thus ensuring recognition and safety in your field.
You will learn how to use the Power BI desktop to bring data in from various sources. You will learn how to create reports and publish them. You will learn how R scripts, parameters, and the Power Query M Formula language fit into Power BI. You will also learn how to use SQL Server data and SQL Server audit data to push your reports and visualizations to another level.
Here’s what you will learn:
A brief introduction to Power BI
A brief look at the Power BI building blocks
How to use Power BI Desktop
How to use Power BI Reports
What High-Density Line Sampling is
How to connect with Data in Power BI
What Real-Time Streaming is
How to Push Data in Datasets
How to use Excel to Publish Into Power BI
Working with R Scripts
Working with Parameters
Working with SQL Server Data
Working with the Power Query M Formula Language
How to Visualize SQL Server Audit Data
And much more
By the end of the book, you will have a much deeper understanding of how to leverage Power BI for effective and efficient business intelligence so scroll up and hit that Buy Now button to get started!
POWER BIA Comprehensive Guide of Tips and Tricks to Learn the Functions of Power BI POWER BIA Comprehensive Guide of Tips and Tricks to Learn the Functions of Power BI Introduction Business Intelligence Software (BI) Treatment Of Data In Power Query The Query Editor Interface Data Processing Data Relationship And Modeling Calculations And Dax Visualization Principles For Creating Visuals And Reports Showing Compositions And Flows Power BI Sharepoint Power Bi For Mobile Power BI And Excel Chapter One: Review Of Getting Started With Microsoft Power BI Chapter One: Review Of Getting Started With Microsoft Power BI Basic Theoretical Concepts Explanation Of The Practical Example Of Power Bi Connection With Excel File Connection To A Web Page Data Transformation in Power BI Apply The Transformations Performed In Power Query Creating A Report With Graphics Dynamic Filters MAPS Chapter Two: Introduction to Power Pivot Chapter Two: Introduction to Power Pivot Power Pivot Ribbon in Excel Steps to Enable Power Pivot in Excel Power Pivot Management Window Excel Power BI Components - Power Pivot Chapter Three: Introduction to DAX Chapter Three: Introduction to DAX Where Are We On The Road? What is DAX? DAX Syntax DAX Functions Aggregation Functions Chapter Four: DAX in Practice Chapter Four: DAX in Practice Understanding the Contexts Row Context Query Context Filter Context DAX Functions Aggregation Functions Ending in "X Practical Example of DAX Using DAX Studio and Excel as Power BI Measurement Verification Tools DAX Studio: A Really Useful Tool Power BI and the SSAS Service Chapter Five: Power BI and Power Query (M Language) Chapter Five: Power BI and Power Query (M Language) The Role of BI Self-Service in the Development of a DataWarehouse Power Query much more than Self-Service BI Population Register. The Source Data Source Population File Record Design Data Import with Power BI Query Editor. The Power Query Development Environment Modifying the Default Names Optimization of Data Load Times Creation of Columns from the Source Data Chapter Six: Data Model Using Power Query Chapter Six: Data Model Using Power Query Nationality. Import from Excel Chapter Seven: Power Pivot Engine To Design A Population Data Model Chapter Seven: Power Pivot Engine To Design A Population Data Model Data Designer Introduction Data Designer Population Count Measure Report Designer Elementary Operations in the Use of Controls Report Designer Results Display Measurement Control Test Tables Need Relationships Relationships Designer. Relationship Creation Data Designer Hierarchy Creation Demographic Structure Indicators Demographic Structure Indicators Conclusion References POWER BISimple and Effective Strategies to Learn the Functions of Power BI and Power Query POWER BISimple and Effective Strategies to Learn the Functions of Power BI and Power Query Power BI: A Disruptive Reporting Platform Power BI: A Disruptive Reporting Platform Introduction to Power BI Power BI Online Service Power BI Desktop Power BI Mobile Manage Data Sources in Power BI Desktop Benefits of Power BI Manage Data Source Q&A (Natural Language Query) Strategies to Learn Power BI Functions Introduction Power BI Architecture Creating, Publishing and Scheduling a Dashboard Creating Parameters in Power BI Calling Oracle Package Function in Power BI Limitations in Power BI Power BI Desktop Functionalities Power BI Desktop Introduction Data Connectivity Modes Pbit Template File Implementation Assigning Parameter Values Dynamically Maps in Power BI Desktop Power BI Real-Time Dashboard Introduction Power BI Preview Navigation Pane Dashboards Dashboard Tiles Q&A Question Box Functionalities of Power BI Preview Share a Power BI Dashboard Various Data Sources Power BI Designer File Refresh your Data Steps to Refresh Schedule Power BI for Report Generation and Mail Introduction Setup Report Generation Using Visualization Publishing the Report Subscription and Mailing of the Report Report Creation in Power BI Desktop with AX 2012 Developing Power BI Reports with NAV 2016 Integration of Power BI Modules with MS Excel Steps to Enable Plugins Tips for Using the Power BI Dashboard Dynamic Row Level Security in Power BI Introduction to Power BI Benefits of Power BI Steps to Define a Role in Power BI Desktop Toggle Button and Tooltip Features in Power BI Introduction Designing a Dashboard using the Imported Dataset Toggle Button with Bookmark Feature Report Page Tooltip in Power BI Desktop Publishing Reports on Apps in Power BI App Workspace Sourcing an Existing Power BI Report into a New Power BI Report Using Live Connection Power BI and Share Point Introduction Power BI Desktop Views in Power BI Desktop Build Reports Creating Charts For Sharepoint List Data Using Power BI Integrating Power BI with SharePoint Create Relationships between Two Charts Create Custom and Calculated Columns in Power BI Create a Calculated Column Share the SharePoint Page with PowerBI Report Embedded in It Hosting of Power BI Reports in SharePoint Publish the Power BI Report on Dynamics 365 Power Query for Report Generation Introduction Setting up Power Query Power Query for Excel ETL Process Synoptic Panel in Power BI Desktop Synoptic Panel by SQLBI Filters and Slicers in PowerBI Report Filters in PowerBI Different Types of Filters in PowerBI Slicers Slicers vs. Filters How to Toggle in Power BI Report Using Images Cognos Self Service BI Self Service BI: Overview Self Service BI: Challenges Why Self Service is Required in Today’s World The Business Case for Self Service BI Need for BI Users to be More Empowered and BI Tools to be More Exhaustive Features and Functions The Tradeoffs Conclusion POWER BIAn Advanced Guide to Learn the Advanced Realms of Power BI POWER BIAn Advanced Guide to Learn the Advanced Realms of Power BI Introduction Know Your Role in Power BI Know More about Power BI Chapter 1: Power BI Building Blocks Chapter 1: Power BI Building Blocks Visualizations Datasets Reports Dashboards Tiles Combined Together Using the Power BI Service Creating Dashboards using Cloud Services Updating Data from Power BI Service Power BI Desktop Chapter 2: Power BI Reports Chapter 2: Power BI Reports Copy-Paste Reports Hiding the Report Pages Different Filter Types in Reports How to Add Filters to Reports Role of Filters and Highlighters Filters Pane Chapter 3: High-Density Line Sampling Chapter 3: High-Density Line Sampling How Does Line Sampling Actually Work? Tooltips in Displayed Data Limitations in the Algorithm Chapter 4: Connecting with Data Sources in Power BI Chapter 4: Connecting with Data Sources in Power BI Steps to Connect Data in Power BI Import Data from Microsoft Excel Excel Workbook Types Supported by Power BI Connecting to Excel workbook using Power BI Fetching Data from Power BI Desktop Editing Parameter Settings Chapter 5: Power BI Real-Time Streaming Chapter 5: Power BI Real-Time Streaming Types of Real-Time Datasets How to Push Data in Datasets Setting Up Real-Time Streaming Dataset Chapter 6: Publish Using Microsoft Excel into Power BI Chapter 6: Publish Using Microsoft Excel into Power BI How to Publish the Workbook Publishing a Local File Upload Option Export Option Reducing Workbook Size to Display in Power BI Removing the Data from the Worksheet Chapter 7: Working with R Scripts Chapter 7: Working with R Scripts Importing Data Using R Scripts Transforming Data Using R Scripts Creating R Visualizations Using R Scripts Importing Custom Visuals Using R Getting the Best Out of R in Power BI Chapter 8: Working with Parameters Chapter 8: Working with Parameters Connection-Specific Parameters Connecting to Data Sources Add Parameters to Your Filter Data Add Parameters to Control Statement Logic Naming Dataset Objects Using Parameters Using Parameters in Data View Chapter 9: Working with SQL Server Data Chapter 9: Working with SQL Server Data Retrieving an SQL Server Table Work with Relationships How to Merge Datasets Retrieving SQL Server Data Using T-SQL Queries Make the Most of SQL Server Data Chapter 10: Working with Power Query M Formula Language Chapter 10: Working with Power Query M Formula Language How to Retrieve Data from CSV Files How to Remove Columns from Datasets Promote the First Row to Headers Renaming the Dataset Columns Filtering Dataset Rows Replacing A Dataset’s Column Values Changing the Column Values Case Adding Calculated Columns to Datasets Navigate the Power Query M Formula Language Chapter 11: How to Visualize SQL Server Audit Data Chapter 11: How to Visualize SQL Server Audit Data Setting Your Test Environment Up Generate the Test Audit Data Creating the Connection to SQL Server Audit Data in Power BI Desktop Adding Tables Adding a Matrix Adding Visualizations Adding a Gauge Using Power BI to Visualize Audit Data Conclusion
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