• Complain

Michael Alexander - Microsoft Business Intelligence Tools for Excel Analysts

Here you can read online Michael Alexander - Microsoft Business Intelligence Tools for Excel Analysts full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. year: 2014, publisher: For Dummies, genre: Computer. 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.

Michael Alexander Microsoft Business Intelligence Tools for Excel Analysts

Microsoft Business Intelligence Tools for Excel Analysts: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "Microsoft Business Intelligence Tools for Excel Analysts" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

Bridge the big data gap with Microsoft Business Intelligence Tools for Excel Analysts

The distinction between departmental reporting done by business analysts with Excel and the enterprise reporting done by IT departments with SQL Server and SharePoint tools is more blurry now than ever before. With the introduction of robust new features like PowerPivot and Power View, it is essential for business analysts to get up to speed with big data tools that in the past have been reserved for IT professionals. Written by a team of Business Intelligence experts, Microsoft Business Intelligence Tools for Excel Analysts introduces business analysts to the rich toolset and reporting capabilities that can be leveraged to more effectively source and incorporate large datasets in their analytics while saving them time and simplifying the reporting process.

  • Walks you step-by-step through important BI tools like PowerPivot, SQL Server, and SharePoint and shows you how to move data back and forth between these tools and Excel
  • Shows you how to leverage relational databases, slice data into various views to gain different visibility perspectives, create eye-catching visualizations and dashboards, automate SQL Server data retrieval and integration, and publish dashboards and reports to the web
  • Details how you can use SQL Servers built-in functions to analyze large amounts of data, Excel pivot tables to access and report OLAP data, and PowerPivot to create powerful reporting mechanisms

Youll get on top of the Microsoft BI stack and all it can do to enhance Excel data analysis with this one-of-a-kind guide written for Excel analysts just like you.

Michael Alexander: author's other books


Who wrote Microsoft Business Intelligence Tools for Excel Analysts? Find out the surname, the name of the author of the book and a list of all author's works by series.

Microsoft Business Intelligence Tools for Excel Analysts — 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 "Microsoft Business Intelligence Tools for Excel Analysts" 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

Microsoft Business Intelligence Tools for Excel Analysts Published by John - photo 1

Microsoft Business Intelligence Tools for Excel Analysts

Published by:
John Wiley & Sons, Inc.,
111 River Street,
Hoboken, NJ 07030-5774,
www.wiley.com

Copyright 2014 by John Wiley & Sons, Inc., Hoboken, New Jersey

Published simultaneously in Canada

No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written permission of the Publisher. Requests to the Publisher for permission should be addressed to the Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011, fax (201) 748-6008, or online at http://www.wiley.com/go/permissions .

Trademarks: Wiley and the Wiley logo are trademarks or registered trademarks of John Wiley & Sons, Inc. and/or its affiliates in the United States and other countries and may not be used without written permission. Microsoft and Excel are registered trademarks of the Microsoft Corporation. All other trademarks are the property of their respective owners. John Wiley & Sons, Inc. is not associated with any product or vendor mentioned in this book.

LIMIT OF LIABILITY/DISCLAIMER OF WARRANTY: THE PUBLISHER AND THE AUTHOR MAKE NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE ACCURACY OR COMPLETENESS OF THE CONTENTS OF THIS WORK AND SPECIFICALLY DISCLAIM ALL WARRANTIES, INCLUDING WITHOUT LIMITATION WARRANTIES OF FITNESS FOR A PARTICULAR PURPOSE. NO WARRANTY MAY BE CREATED OR EXTENDED BY SALES OR PROMOTIONAL MATERIALS. THE ADVICE AND STRATEGIES CONTAINED HEREIN MAY NOT BE SUITABLE FOR EVERY SITUATION. THIS WORK IS SOLD WITH THE UNDERSTANDING THAT THE PUBLISHER IS NOT ENGAGED IN RENDERING LEGAL, ACCOUNTING, OR OTHER PROFESSIONAL SERVICES. IF PROFESSIONAL ASSISTANCE IS REQUIRED, THE SERVICES OF A COMPETENT PROFESSIONAL PERSON SHOULD BE SOUGHT. NEITHER THE PUBLISHER NOR THE AUTHOR SHALL BE LIABLE FOR DAMAGES ARISING HEREFROM. THE FACT THAT AN ORGANIZATION OR WEBSITE IS REFERRED TO IN THIS WORK AS A CITATION AND/OR A POTENTIAL SOURCE OF FURTHER INFORMATION DOES NOT MEAN THAT THE AUTHOR OR THE PUBLISHER ENDORSES THE INFORMATION THE ORGANIZATION OR WEBSITE MAY PROVIDE OR RECOMMENDATIONS IT MAY MAKE. FURTHER, READERS SHOULD BE AWARE THAT INTERNET WEBSITES LISTED IN THIS WORK MAY HAVE CHANGED OR DISAPPEARED BETWEEN WHEN THIS WORK WAS WRITTEN AND WHEN IT IS READ. FULFILLMENT OF EACH COUPON OFFER IS THE SOLE RESPONSIBILITY OF THE OFFEROR.

For general information on our other products and services, please contact our Customer Care Department within the U.S. at 877-762-2974, outside the U.S. at 317-572-3993, or fax 317-572-4002. For technical support, please visit www.wiley.com/techsupport .

Wiley publishes in a variety of print and electronic formats and by print-on-demand. Some material included with standard print versions of this book may not be included in e-books or in print-on-demand. If this book refers to media such as a CD or DVD that is not included in the version you purchased, you may download this material at http://booksupport.wiley.com . For more information about Wiley products, visit www.wiley.com .

Library of Congress Control Number: 2013954104

ISBN 978-1-118-82152-7 (pbk); ISBN 978-1-118-82156-5 (ebk); ISBN 978-1-118-82155-8 (ebk)

Manufactured in the United States of America

10 9 8 7 6 5 4 3 2 1

About the Authors

Mike Alexander is a Microsoft Certified Application Developer (MCAD) and author of several books on advanced business analysis with Microsoft Access and Excel. He has more than 16 years experience consulting and developing Office solutions. Mike has been named a Microsoft MVP for his ongoing contributions to the Excel community. You can visit Mike at www.datapigtechnologies.com , where he regularly shares Excel and Access tips and techniques.

Jared Decker has over fourteen years of experience in the IT industry and ten years of consulting experience focused exclusively on data warehousing and business intelligence. In addition to playing an architect or lead role on dozens of projects, he has spent more than five hundred hours in-house with corporations training their development teams on the Microsoft SQL Server, Tableau, and QlikView BI platforms. His breadth of experience entails everything from architecture and design to system implementation, with particular focus on business analytics and data visualization. Jared holds technical certifications in Microsoft (MCITP Business Intelligence Developer and certified trainer), Tableau Developer, and QlikView Developer and Trainer.

Bernard Wehbe has over 14 years of consulting experience focused exclusively on data warehousing, analytics, and business intelligence. His experience includes data warehousing architecture, OLAP, data modeling, ETL, reporting, business analysis, team leadership, and project management. Prior to founding StatSlice Systems, Bernard served as a technical architect for Hitachi Consulting in the Dallas, TX area.

Publishers Acknowlegments

Sr. Acquisitions Editor: Katie Mohr

Project Editor: Rebecca Senninger

Copy Editor: Lynn Northrup

Technical Editor: Mike Talley

Editorial Assistant: Anne Sullivan

Sr. Editorial Assistant: Cherie Case

Project Coordinator: Patrick Redmond

APPENDIX A: Understanding the Big Data Toolset

Big data refers to a broad set of tools that are designed to work with large data volumes. These tools are gaining popularity because they solve the limitations of traditional tools by scaling up on hardware and sharing the workload across many linked computers. Using this divide-and-conquer approach allows big data technologies to accomplish tasks that are not feasible otherwise.

When it comes to analytics, there are some special considerations regarding big data. You need an easy way to access and navigate platforms without the need to spend precious time learning new programming languages such as Java. In the past few years several tools have come available that offer a big data SQL solution: a tool that sits on top of a big data platform and allows you to write SQL queries against the big data engine.

In this appendix we review the big data SQL tools on the market now, giving you a sense of the big data landscape. Youll also discover how you can connect to those tools from Excel.

Big Data SQL Offerings

There are several big data offerings that support a relatively easy-to-use SQL engine on top of Hadoop or another similar-style platform.

Picture 2 We cover the talked-about entrants into the market as of this writing. Note, though, that this space is quite new and many companies are jumping into it almost daily.

Most of these technologies have a similar approach to big data SQL. They scale up on hardware and use a divide-and-conquer approach to break big data volumes into small chunks and distribute the processing across multiple nodes. The main differentiator among the various technologies is whether or not they are Hadoop-based. For example, Amazon Redshift does not sit on top of Hadoop, but instead uses a different technology that allows similar scalability as Hadoop. On the other hand, Hortonworks and Cloudera are tools that are installed on top of Hadoop and take advantage of its scalability features.

Amazon Redshift

Provider:

Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «Microsoft Business Intelligence Tools for Excel Analysts»

Look at similar books to Microsoft Business Intelligence Tools for Excel Analysts. 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 «Microsoft Business Intelligence Tools for Excel Analysts»

Discussion, reviews of the book Microsoft Business Intelligence Tools for Excel Analysts 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.