Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/25891
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dc.contributor.authorDunlop, Neilen_US
dc.date.accessioned2017-06-22T07:23:52Z
dc.date.available2017-06-22T07:23:52Z
dc.date.issued2015en_US
dc.identifier.isbn978-1-4842-0530-3en_US
dc.identifier.isbn978-1-4842-0529-7en_US
dc.identifier.otherHPU4161026en_US
dc.identifier.urihttps://lib.hpu.edu.vn/handle/123456789/25891-
dc.description.abstractThis book is intended for anyone with a basic knowledge of Excel who wants to analyze and visualize data in order to get results. It focuses on understanding the underlying structure of data, so that the most appropriate tools can be used to analyze it. The early working title of this book was “Big Data for the Masses,” implying that these tools make Business Intelligence (BI) more accessible to the average person who wants to leverage his or her Excel skills to analyze large datasets. As discussed in Chapter 1, big data is more about volume and velocity than inherent complexity. This book works from the premise that many small- to medium-sized organizations can meet most of their data needs with Excel and Power BI. The book demonstrates how to import big data file formats such as JSON, XML, and HDFS and how to filter larger datasets down to thousands or millions of rows instead of billions. This book starts out by showing how to import various data formats into Excel (Chapter 2) and how to use Pivot Tablesto extract summary data from a single table (Chapter 3). Chapter 5demonstrates how to use Structured Query Language (SQL) in Excel. Chapter 10offers a brief introduction to statistical analysis in Excel.en_US
dc.format.extent258 p.en_US
dc.format.mimetypeapplication/pdfen_US
dc.language.isoenen_US
dc.subjectComputer Scienceen_US
dc.subjectGeneralen_US
dc.subjectSQL in Excelen_US
dc.titleBeginning Big Data with Power BI and Excel 2013en_US
dc.typeBooken_US
dc.size20.6Mben_US
dc.departmentTechnologyen_US
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