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Beginning big data with Power BI and Excel 2013[electronic resource] /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	658.05
書名/作者:	Beginning big data with Power BI and Excel 2013/ by Neil Dunlop.
作者:	Dunlop, Neil.
出版者:	Berkeley, CA : : Apress :, 2015.
面頁冊數:	xix, 246 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Big data.
標題:	Business - Data processing.
標題:	Computer science.
標題:	Computer Science, general.
ISBN:	9781484205297
ISBN:	9781484205303
摘要、提要註:	In Beginning Big Data with Power BI and Excel 2013, 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 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 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, and case 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 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)
電子資源:	http://dx.doi.org/10.1007/978-1-4842-0529-7

Beginning big data with Power BI and Excel 2013[electronic resource] /
Dunlop, Neil.

Beginning big data with Power BI and Excel 2013[electronic resource] /by Neil Dunlop. - Berkeley, CA :Apress :2015. - xix, 246 p. :ill., digital ;24 cm.

In Beginning Big Data with Power BI and Excel 2013, 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 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 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, and case 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 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)

ISBN: 9781484205297

Standard No.: 10.1007/978-1-4842-0529-7doiSubjects--Uniform Titles:

Microsoft Excel (Computer file)
Subjects--Topical Terms:

571002
Big data.

LC Class. No.: HF5548.2

Dewey Class. No.: 658.05

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