| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046032252 | |
| 005 | 20200707115632 | |
| 006 | m d | |
| 007 | cr | |
| 008 | 200611s2015 caua o 001 0 eng d | |
| 020 | ▼a 9781484205297 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 050 | 0 0 | ▼a HF5548.2 |
| 082 | 0 4 | ▼a 658/.05 ▼2 23 |
| 084 | ▼a 658.05 ▼2 DDCK | |
| 090 | ▼a 658.05 | |
| 100 | 1 | ▼a Dunlop, Neil. |
| 245 | 1 0 | ▼a Beginning big data with Power BI and Excel 2013 ▼h [electronic resource] / ▼c Neil Dunlop. |
| 260 | ▼a Berkeley, CA : ▼b Apress : ▼b Imprint: Apress, ▼c 2015. | |
| 300 | ▼a 1 online resource (xix, 246 p.) : ▼b ill. | |
| 490 | 1 | ▼a The expert's voice in big data |
| 500 | ▼a Title from e-Book title page. | |
| 500 | ▼a Includes index. | |
| 520 | ▼a 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). | |
| 530 | ▼a Issued also as a book. | |
| 538 | ▼a Mode of access: World Wide Web. | |
| 630 | 0 0 | ▼a Microsoft Excel (Computer file). |
| 630 | 0 0 | ▼a Microsoft PowerPivot (Computer file). |
| 650 | 0 | ▼a Big data. |
| 650 | 0 | ▼a Business ▼x Data processing. |
| 650 | 0 | ▼a Computer science. |
| 830 | 0 | ▼a Expert's voice in big data. |
| 856 | 4 0 | ▼u https://oca.korea.ac.kr/link.n2s?url=http://dx.doi.org/10.1007/978-1-4842-0529-7 |
| 945 | ▼a KLPA | |
| 991 | ▼a E-Book(소장) |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/e-Book 컬렉션/ | 청구기호 CR 658.05 | 등록번호 E14024663 | 도서상태 대출불가(열람가능) | 반납예정일 | 예약 | 서비스 |