Bernard Obeng Boateng Data Modeling with Microsoft Excel (Paperback) (UK IMPORT)

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Item specifics

Condition
Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See the ...
Book Title
Data Modeling with Microsoft Excel
Title
Data Modeling with Microsoft Excel
Subtitle
Model and analyze data using Power Pivot, DAX, and Cube functions
Contributor
Michael Olafusi (Foreword by)
ISBN-10
1803240288
EAN
9781803240282
ISBN
9781803240282
Genre
Computing & Internet
Release Year
2023
Release Date
11/30/2023
Item Height
235mm
Country of Origin
UK
Publication Year
2023
Type
Textbook
Format
Trade Paperback
Language
English
Subject Area
Computers, Business & Economics
Publication Name
Data Modeling with Microsoft Excel : A Comprehensive Guide on How to Model and Analyze Data Using Power Pivot, DAX, and Cube Functions
Author
Bernard Obeng Boateng
Publisher
Packt Publishing, The Limited
Item Length
92.5 in
Subject
Data Modeling & Design, Commerce
Item Width
75 in
Number of Pages
267 Pages
Category

About this product

Product Identifiers

Publisher
Packt Publishing, The Limited
ISBN-10
1803240288
ISBN-13
9781803240282
eBay Product ID (ePID)
8065694387

Product Key Features

Number of Pages
267 Pages
Publication Name
Data Modeling with Microsoft Excel : A Comprehensive Guide on How to Model and Analyze Data Using Power Pivot, DAX, and Cube Functions
Language
English
Subject
Data Modeling & Design, Commerce
Publication Year
2023
Type
Textbook
Author
Bernard Obeng Boateng
Subject Area
Computers, Business & Economics
Format
Trade Paperback

Dimensions

Item Length
92.5 in
Item Width
75 in

Additional Product Features

Intended Audience
Trade
Dewey Edition
23
Dewey Decimal
005.54
Synopsis
Save time analyzing volumes of data using a structured method to extract, model, and create insights from your data Key Features Acquire expertise in using Excel's Data Model and Power Pivot to connect and analyze multiple sources of data Create key performance indicators for decision making using DAX and Cube functions Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users Purchase of the print or Kindle book includes a free PDF eBook Book Description Microsoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data. Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations. This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You'll also understand how to create powerful and flexible measures using DAX and Cube functions. By the end of this book, you'll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions. What you will learn Implement the concept of data modeling within and beyond Excel Get, transform, model, aggregate, and visualize data with Power Query Understand best practices for data structuring in MS Excel Build powerful measures using DAX from the Data Model Generate flexible calculations using Cube functions Design engaging dashboards for your users Who this book is for This book is for Excel users looking for hands-on and effective methods to manage and analyze large volumes of data within Microsoft Excel using Power Pivot. Whether you're new or already familiar with Excel's data analytics tools, this book will give you further insights on how you can apply Power Pivot, Data Model, DAX measures, and Cube functions to save time on routine data management tasks. An understanding of Excel's features like tables, PivotTable, and some basic aggregating functions will be helpful but not necessary to make the most of this book. Table of Contents Getting Started with Data Modeling - Overview and Importance Data Structuring for Data Models Preparing your Data for the Data Model Data Modeling with Power Pivot Creating DAX Calculations from your Data Model Creating Cube Functions from your Data Model Communicating insights from your Data Model using Dashboards Visualization Elements for your Dashboard Choosing the right Design Themes Publication and Deployment, Save time analyzing volumes of data using a structured method to extract, model, and create insights from your data Key Features Acquire expertise in using Excel's Data Model and Power Pivot to connect and analyze multiple sources of data Create key performance indicators for decision making using DAX and Cube functions Apply your knowledge of Data Model to build an interactive dashboard that delivers key insights to your users Purchase of the print or Kindle book includes a free PDF eBook Book Description Microsoft Excel's BI solutions have evolved, offering users more flexibility and control over analyzing data directly in Excel. Features like PivotTables, Data Model, Power Query, and Power Pivot empower Excel users to efficiently get, transform, model, aggregate, and visualize data.Data Modeling with Microsoft Excel offers a practical way to demystify the use and application of these tools using real-world examples and simple illustrations.This book will introduce you to the world of data modeling in Excel, as well as definitions and best practices in data structuring for both normalized and denormalized data. The next set of chapters will take you through the useful features of Data Model and Power Pivot, helping you get to grips with the types of schemas (snowflake and star) and create relationships within multiple tables. You'll also understand how to create powerful and flexible measures using DAX and Cube functions.By the end of this book, you'll be able to apply the acquired knowledge in real-world scenarios and build an interactive dashboard that will help you make important decisions. What you will learn Implement the concept of data modeling within and beyond Excel Get, transform, model, aggregate, and visualize data with Power Query Understand best practices for data structuring in MS Excel Build powerful measures using DAX from the Data Model Generate flexible calculations using Cube functions Design engaging dashboards for your users Who this book is for This book is for Excel users looking for hands-on and effective methods to manage and analyze large volumes of data within Microsoft Excel using Power Pivot. Whether you're new or already familiar with Excel's data analytics tools, this book will give you further insights on how you can apply Power Pivot, Data Model, DAX measures, and Cube functions to save time on routine data management tasks. An understanding of Excel's features like tables, PivotTable, and some basic aggregating functions will be helpful but not necessary to make the most of this book. ]]>
LC Classification Number
HF5548.4.M523

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