Beginning Big Data with Power BI and Excel 2013

Big Data Processing and Analysis Using PowerBI in Excel 2013
1. Auflage 2015
ISBN: 978-1-4842-0530-3
Verlag: Apress

Buch, Englisch, 246 Seiten, Paperback, Format (B × H): 178 mm x 254 mm, Gewicht: 5091 g

In , you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps.

While covers prominent tools such as Hadoop and the NoSQL databases, it recognizes that most small and medium-sized businesses don’t have the Big Data processing needs of a Netflix, Target, or Facebook. Instead, it shows how to import data and use the self-service analytics available in Excel with Power BI. As you’ll see through the book’s numerous case examples, these tools—which you already know how to use—can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects.

Through instruction, insight, advice, andcase studies, will show you how to:

• Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources.
• Tap into the analytical power of PivotTables and PivotCharts and develop relational data models to track trends and make predictions based on a wide range of data.
• Understand basic statistics and use Excel with PowerBI to do sophisticated statistical analysis—including identifying trends and correlations.
• Use SQL within Excel to do sophisticated queries across multiple tables, including NoSQL databases.
• Create complex formulas to solve real-world business problems using Data Analysis Expressions (DAX).

Zielgruppe

Popular/general

Autoren/Hrsg.

Dunlop, Neil

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Tabellenkalkulation Microsoft Excel
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Datenbankprogrammierung
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Inhaltsverzeichnis

Introduction

Chapter 1: Tools for Big Data Intake, Processing, and Analysis

Chapter 2: Excel as a Database and Data Aggregator

Chapter 3: Pivot Tables and Pivot Charts

Chapter 4: Data Models

Chapter 5: SQL in Excel

Chapter 6: NoSQL Databases in Excel

Chapter 7: Statistical Analysis in Excel

Chapter 8: Data Analysis Expressions

Chapter 9: Reports and Dashboards

Chapter 10: Data Visualizations

Chapter 11: Summary and Review

Über Autor(innen)

Neil Dunlop is Professor of Business and Computer Information Systems, Berkeley City College, Berkeley, CA. The author has served as chair of the Business and Computer Information Systems Departments for many years. He has over thirty-five years experience as a computer programmer and software designer and is the author of three books on database management. He is listed in Marquis Who’s Who in America and Who’s Who in the World.