• Complain

Brian Larson - Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)

Here you can read online Brian Larson - Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG) full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2020, publisher: McGraw-Hill Education, genre: Romance novel. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

No cover
  • Book:
    Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)
  • Author:
  • Publisher:
    McGraw-Hill Education
  • Genre:
  • Year:
    2020
  • Rating:
    5 / 5
  • Favourites:
    Add to favourites
  • Your mark:
    • 100
    • 1
    • 2
    • 3
    • 4
    • 5

Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG): summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Publishers Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Create and manage high-quality, highly-interactive dashboards and reports using Microsoft Power BIThis hands-on guide shows, step by step, how to use the powerful features of Microsoft Power BI to gain meaningful business insights. Written by an expert in the field, the book teaches you how to build accurate data models and design, create, and manage visually-rich and robust data analyses and dashboards. The book includes details on R, Python, and Microsofts proprietary analytics language DAX.Data Analysis with Microsoft Power BI begins by clearly explaining the dashboard interaction and analysis techniques utilized by business users and proceeds to detail the skills needed to author visualizations from pre-existing data models. From there, you will learn the more advanced skills required to create custom data models from transactional, line-of-business data. Publishing to the Power BI Service (PowerBI.com) and Power BI Report Server are fully covered.Contains practical exercises based on real-life business scenariosAccess online updates for key new features during the life of this editionWritten by a recognized BI expert and bestselling author

Brian Larson: author's other books


Who wrote Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)? Find out the surname, the name of the author of the book and a list of all author's works by series.

Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG) — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Contents Guide Page List Copyright 2020 by McGraw-Hill Education All - photo 1
Contents
Guide
Page List

Copyright 2020 by McGraw-Hill Education All rights reserved Except as - photo 2

Copyright 2020 by McGraw-Hill Education. All rights reserved. Except as permitted under the United States Copyright Act of 1976, no part of this publication may be reproduced or distributed in any form or by any means, or stored in a database or retrieval system, without the prior written permission of the publisher.

ISBN: 978-1-26-045862-6
MHID: 1-26-045862-8

The material in this eBook also appears in the print version of this title: ISBN: 978-1-26-045861-9, MHID: 1-26-045861-X.

eBook conversion by codeMantra
Version 1.0

All trademarks are trademarks of their respective owners. Rather than put a trademark symbol after every occurrence of a trademarked name, we use names in an editorial fashion only, and to the benefit of the trademark owner, with no intention of infringement of the trademark. Where such designations appear in this book, they have been printed with initial caps.

McGraw-Hill Education eBooks are available at special quantity discounts to use as premiums and sales promotions or for use in corporate training programs. To contact a representative, please visit the Contact Us page at www.mhprofessional.com.

Information has been obtained by McGraw-Hill Education from sources believed to be reliable. However, because of the possibility of human or mechanical error by our sources, McGraw-Hill Education, or others, McGraw-Hill Education does not guarantee the accuracy, adequacy, or completeness of any information and is not responsible for any errors or omissions or the results obtained from the use of such information.

TERMS OF USE

This is a copyrighted work and McGraw-Hill Education and its licensors reserve all rights in and to the work. Use of this work is subject to these terms. Except as permitted under the Copyright Act of 1976 and the right to store and retrieve one copy of the work, you may not decompile, disassemble, reverse engineer, reproduce, modify, create derivative works based upon, transmit, distribute, disseminate, sell, publish or sublicense the work or any part of it without McGraw-Hill Educations prior consent. You may use the work for your own noncommercial and personal use; any other use of the work is strictly prohibited. Your right to use the work may be terminated if you fail to comply with these terms.

THE WORK IS PROVIDED AS IS. McGRAW-HILL EDUCATION AND ITS LICENSORS MAKE NO GUARANTEES OR WARRANTIES AS TO THE ACCURACY, ADEQUACY OR COMPLETENESS OF OR RESULTS TO BE OBTAINED FROM USING THE WORK, INCLUDING ANY INFORMATION THAT CAN BE ACCESSED THROUGH THE WORK VIA HYPERLINK OR OTHERWISE, AND EXPRESSLY DISCLAIM ANY WARRANTY, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO IMPLIED WARRANTIES OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. McGraw-Hill Education and its licensors do not warrant or guarantee that the functions contained in the work will meet your requirements or that its operation will be uninterrupted or error free. Neither McGraw-Hill Education nor its licensors shall be liable to you or anyone else for any inaccuracy, error or omission, regardless of cause, in the work or for any damages resulting therefrom. McGraw-Hill Education has no responsibility for the content of any information accessed through the work. Under no circumstances shall McGraw-Hill Education and/or its licensors be liable for any indirect, incidental, special, punitive, consequential or similar damages that result from the use of or inability to use the work, even if any of them has been advised of the possibility of such damages. This limitation of liability shall apply to any claim or cause whatsoever whether such claim or cause arises in contract, tort or otherwise.

This book is dedicated to my father-in-law, Len Martin. I had the great fortune to have in-laws who were also good friends. Len taught me many lessons on home improvement and was always ready to share his experience running a small business. A combat pilot in WWII, Air Force Reservist, and recreational pilot, he slipped the surly bonds of earth one last time on July 9, 2019.

About the Author

Brian Larson has focused his writing and consulting career around Microsoft reporting and analytics tools. That association began for Brian as a consulting member of the original Microsoft SQL Server Reporting Services development team. In that role, he contributed to the original code base of Reporting Services. Brian is currently a partner and chief creative officer for Superior Consulting Services in Minneapolis, Minnesota.

Brian has presented at national conferences and events, including the PASS Community Summit and the Microsoft Business Intelligence Conference, and has provided training and mentoring across the country. In addition to this book, Brian is the author of Microsoft SQL Server 2016 Reporting Services, Fifth Edition and Delivering Business Intelligence with Microsoft SQL Server 2016, Fourth Edition, and he is co-author of Visualizing Data with Microsoft Power View, all from McGraw-Hill Education.

Brian is a Phi Beta Kappa graduate of Luther College in Decorah, Iowa, with degrees in physics and computer science. He has 34 years of experience in the computer industry and 30 years of experience as a consultant creating custom database solutions. Brian is a Microsoft Certified Solutions Expert (MCSE) in Data Management and Analytics.

Brian and his wife, Pam, have been married for 34 years. Pam will tell you that their first date took place at the campus computer center. If that doesnt qualify someone to write a technology book, then Brian doesnt know what does. Brian and Pam have two children, Jessica and Corey.

About the Technical Editor

Dan Corley is a business intelligence architect with a strong passion for and expertise in the Microsoft data platform and business analytics technologies. He has worked in business intelligence for 20 years, architecting, managing, and developing business intelligence solutions in a variety of industries. Dan lives with his wife and eight children in Lakeville, Minnesota.

Contents at a Glance
Contents
Acknowledgments

A project of this size is not completed alone. I need to thank many people for their assistance, professionalism, dedication, and support.

First, as always, a thank-you to Wendy Rinaldi, my original contact person at McGraw-Hill Education, who allowed me to lean on her as part editor, part coach, part literary agent, and part psychoanalyst. Her professionalism, humor, understanding, and faith have helped see me through many editions of many titles.

A huge thank-you to the rest of the McGraw-Hill Professional staff, who saw the project through to the end, kept prodding me as deadlines passed, and made sure there really was a book when all was said and done.

I am also indebted to Lisa Schmid and Paul Purington, my co-owners at Superior Consulting Services (SCS). They agreed to allow me to take on this project on company time and have agreed to create and support the ancillary materials on the SCS website (www.teamscs.com) that will keep this a relevant guide to a highly dynamic product.

An incredibly large thank-you to my wife, Pam, who, as always, serves as my best editor, alpha tester, and guardian of quality. Her incredible attention to detail has made this a much better learning tool.

Last, but certainly not least, to you, the reader, who plunked down your hard-earned cash for this purchase. I hope you view this as a helpful and informative means of jumpstarting your knowledge of the incredible set of tools that make up Microsoft Power BI.

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)»

Look at similar books to Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG). We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG)»

Discussion, reviews of the book Data Analysis with Microsoft Power BI (DATABASE & ERP - OMG) and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.