Beschreibung
In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsofts 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 Beginning Big Data with Power BI and Excel 2013 covers prominent tools such as Hadoop and the NoSQL databases, it recognizes that most small and medium-sized businesses dont 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 youll see through the books numerous case examples, these toolswhich you already know how to usecan 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, Beginning Big Data with Power BI and Excel 2013 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 analysisincluding identifying trends and correlations. Use SQL within Excel to do sophisticated queries across multiple tables, including NoSQL databases. Create complex formulas to solve realworld business problems using Data Analysis Expressions (DAX).
Autorenporträt
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 Whos Who in America and Whos Who in the World.
Herstellerkennzeichnung:
APress in Springer Science + Business Media
Heidelberger Platz 3
14197 Berlin
DE
E-Mail: juergen.hartmann@springer.com
