Analyzing Data with Power BI and Power Pivot for Excel (Record no. 98470)
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000 -LEADER | |
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fixed length control field | 02622 a2200181 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240305b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9781509302765 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 005.74015 |
Cutter | FER |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Ferrari Alberto |
245 ## - TITLE STATEMENT | |
Title | Analyzing Data with Power BI and Power Pivot for Excel |
250 ## - EDITION STATEMENT | |
Edition statement | 1st |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc | Microsoft Press |
Date of publication, distribution, etc | 2017 |
Place of publication, distribution, etc | Washington |
300 ## - PHYSICAL DESCRIPTION | |
Extent | 247 |
520 ## - Remark | |
Summary, etc | Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness.<br/><br/> <br/><br/>How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one!<br/><br/> <br/><br/>By reading this book, you will:<br/><br/>• Gain an understanding of the basics of data modeling, including tables, relationships, and keys<br/><br/>• Familiarize yourself with star schemas, snowflakes, and common modeling techniques<br/><br/>• Learn the importance of granularity<br/><br/>• Discover how to use multiple fact tables, like sales and purchases, in a complex data model<br/><br/>• Manage calendar-related calculations by using date tables<br/><br/>• Track historical attributes, like previous addresses of customers or manager assignments<br/><br/>• Use snapshots to compute quantity on hand<br/><br/>• Work with multiple currencies in the most efficient way<br/><br/>• Analyze events that have durations, including overlapping durations<br/><br/>• Learn what data model you need to answer your specific business questions<br/><br/> <br/><br/>About This Book<br/><br/>• For Excel and Power BI users who want to exploit the full power of their favorite tools<br/><br/>• For BI professionals seeking new ideas for modeling data<br/><br/>Source: https://www.amazon.in/Analyzing-Power-Pivot-Business-Skills-ebook/dp/B0713N6BBW/ref=sr_1_1?crid=2RY9ZO2Z6KKY8&dib=eyJ2IjoiMSJ9.e8uhQPgdD3ArOZnW1FlQEA.s-knpdHGMd2BoPjEjfOgJEnNnY6b1aGBgfTNZm5moJ4&dib_tag=se&keywords=9781509302765&qid=1709637778&sprefix=bluetooth+headphones%2Caps%2C492&sr=8-1 |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Power BI |
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) | |
a | Business Analytics |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Collection Type | Full call number | Barcode | Date last seen | Cost, replacement price | Koha item type |
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Dewey Decimal Classification | Reference book | Main Library | Main Library | Analytics | 29/01/2024 | Amazon | 3463.00 | Foreign Book | 005.74015 FER | 119211 | 29/01/2024 | 3463.00 | Book |