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Showing posts with label Power BI ebooks. Show all posts
Showing posts with label Power BI ebooks. Show all posts

25 November, 2020

Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel. Code

Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel. Code

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Author(s): Linda Foulkes, Warren Sparrow

Publisher: Packt Publishing, Year: 2020

Description:
Code .

Discover how you can combine data from various sources to create data models to suit your business requirements with the help of this clear and concise guide

Key Features

  • Understand how Power Query overcomes the shortcomings of Excel Power Pivot in handling complex data
  • Create customized dashboards and multi-dimensional reports using Power Query and Power BI
  • Learn the Power Query M language and write advanced queries using custom functions

Book Description

Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you'll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI.

You'll start by learning how to access Power Query across different versions of Excel and install the Power BI engine. After you've explored Power Pivot, you'll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You'll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you'll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M.

By the end of this book, you'll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.

What you will learn

  • Convert worksheet data into a table format ready for query output
  • Create a dynamic connection between an Access database and Excel workbook
  • Reshape tabular data by altering rows, columns, and tables using various Power Query tools
  • Create new columns automatically from filenames and sheet tabs, along with multiple Excel data files
  • Streamline and automate reports from multiple sources
  • Explore different customization options to get the most out of your dashboards
  • Understand the difference between the DAX language and Power Query's M language

Who this book is for

This Power Query book is for business analysts, data analysts, BI professionals, and Excel users looking to take their skills to the next level by learning how to collect, combine, and transform data into insights using Power Query. Working knowledge of Excel and experience in constructing and troubleshooting Excel formulas and functions is expected.

Table of Contents

  1. Installation and Setup
  2. Power Pivot Basics, Inadequacies, and Data Management
  3. Introduction to the Power Query Interface
  4. Connecting to Various Data Sources using Get and Transform
  5. Transforming Power Query Data
  6. Advanced Power Queries and Functions
  7. Automating Reports in Power Query
  8. Creating Dashboards with Power Query
  9. Working with M
  10. Examples of M Usage
  11. Creating a Basic Custom Function
  12. Differences between DAX and M
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21 November, 2020

Microsoft Power BI Quick Start Guide - Second Edition: Bring your data to life through data modeling, visualization, digital storytelling, and more

Microsoft Power BI Quick Start Guide - Second Edition: Bring your data to life through data modeling, visualization, digital storytelling, and more

Author(s): Devin Knight, Bradley Schacht, Mitchell Pearson, Erin Ostrowsky

Publisher: Packt, Year: 2020

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20 November, 2020

Pro Power Bi Desktop: Self-service Analytics and Data Visualization for the Power User

Pro Power Bi Desktop: Self-service Analytics and Data Visualization for the Power User

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Author(s): Adam Aspin

Publisher: Apress, Year: 2020

Description:

Deliver eye-catching and insightful business intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features of Microsoft’s continually evolving visualization product. New in this edition is help with storytelling—adapted to PCs, tablets, and smartphones—and the building of a data narrative. You will find coverage of templates and JSON style sheets, data model annotations, and the use of composite data sources. Also provided is an introduction to incorporating Python visuals and the much awaited Decomposition Tree visual.

Pro Power BI Desktop shows you how to use source data to produce stunning dashboards and compelling reports that you mold into a data narrative to seize your audience’s attention. Slice and dice the data with remarkable ease and then add metrics and KPIs to project the insights that create your competitive advantage. Convert raw data into clear, accurate, and interactive information with Microsoft’s free self-service BI tool.

This book shows you how to choose from a wide range of built-in and third-party visualization types so that your message is always enhanced. You will be able to deliver those results on PCs, tablets, and smartphones, as well as share results via the cloud. The book helps you save time by preparing the underlying data correctly without needing an IT department to prepare it for you. 


What You Will Learn
  • Deliver attention-grabbing information, turning data into insight
  • Find new insights as you chop and tweak your data as never before
  • Build a data narrative through interactive reports with drill-through and cross-page slicing
  • Mash up data from multiple sources into a cleansed and coherent data model
  • Build interdependent charts, maps, and tables to deliver visually stunning information
  • Create dashboards that help in monitoring key performance indicators of your business
  • Adapt delivery to mobile devices such as phones and tablets

Who This Book Is For

Power users who are ready to step up to the big leagues by going beyond what Microsoft Excel by itself can offer. The book also is for line-of-business managers who are starved for actionable data needed to make decisions about their business. And the book is for BI analysts looking for an easy-to-use tool to analyze data and share results with C-suite colleagues they support. 
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01 September, 2020

Power BI: Moving Beyond the Basics of Power BI and Learning about DAX Language

15 August, 2020

Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel

Learn Power Query: A low-code approach to connect and transform data from multiple sources for Power BI and Excel

Linda Foulkes, Warren Sparrow
Discover how you can combine data from various sources to create data models to suit your business requirements with the help of this clear and concise guide
Key Features
  • Understand how Power Query overcomes the shortcomings of Excel Power Pivot in handling complex data
  • Create customized dashboards and multi-dimensional reports using Power Query and Power BI
  • Learn the Power Query M language and write advanced queries using custom functions
Book Description
Power Query is a data connection technology that allows you to connect, combine, and refine data from multiple sources to meet your business analysis requirements. With this Power Query book, you'll be empowered to work with a variety of data sources to create interactive reports and dashboards using Excel and Power BI.
You'll start by learning how to access Power Query across different versions of Excel and install the Power BI engine. After you've explored Power Pivot, you'll see why Excel users find it challenging to clean data in Power Pivot and learn how Power Query can help to tackle the problem. The book will show you how to transform data using the Query Editor and write functions in Power Query. A dedicated section will focus on functions such as IF, Index, and Modulo, and creating parameters to alter query paths in a table. You'll also work with dashboards, get to grips with multi-dimensional reporting, and create automated reports. As you advance, you'll cover the M formula language in Power Query, delve into the basic M syntax, and write the M query language with the help of examples such as loading all library functions offline in Excel and Power BI. Finally, the book will demonstrate the difference between M and DAX and show how results are produced in M.
By the end of this book, you'll be ready to create impressive dashboards and multi-dimensional reports in Power Query and turn data into valuable insights.
What you will learn
  • Convert worksheet data into a table format ready for query output
  • Create a dynamic connection between an Access database and Excel workbook
  • Reshape tabular data by altering rows, columns, and tables using various Power Query tools
  • Create new columns automatically from filenames and sheet tabs, along with multiple Excel data files
  • Streamline and automate reports from multiple sources
  • Explore different customization options to get the most out of your dashboards
  • Understand the difference between the DAX language and Power Query's M language
Who this book is for
This Power Query book is for business analysts, data analysts, BI professionals, and Excel users looking to take their skills to the next level by learning how to collect, combine, and transform data into insights using Power Query. Working knowledge of Excel and experience in constructing and troubleshooting Excel formulas and functions is expected.
Table of Contents
  1. Installation and Setup
  2. Power Pivot Basics, Inadequacies, and Data Management
  3. Introduction to the Power Query Interface
  4. Connecting to Various Data Sources using Get and Transform
  5. Transforming Power Query Data
  6. Advanced Power Queries and Functions
  7. Automating Reports in Power Query
  8. Creating Dashboards with Power Query
  9. Working with M
  10. Examples of M Usage
  11. Creating a Basic Custom Function
  12. Differences between DAX and M
Year:
2020
Publisher:
Packt Publishing
Language:
english
Pages:
428 / 429
ISBN 10:
1839219718
ISBN 13:
9781839219719
File:
PDF, 31.93 MB
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