Verkauf durch Sack Fachmedien

Dunlop

Beginning Big Data with Power BI and Excel 2013

Big Data Processing and Analysis Using PowerBI in Excel 2013

Medium: Buch
ISBN: 978-1-4842-0530-3
Verlag: Apress
Erscheinungstermin: 29.09.2015
Lieferfrist: bis zu 10 Tage

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).


Produkteigenschaften


  • Artikelnummer: 9781484205303
  • Medium: Buch
  • ISBN: 978-1-4842-0530-3
  • Verlag: Apress
  • Erscheinungstermin: 29.09.2015
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2015
  • Produktform: Kartoniert
  • Gewicht: 5091 g
  • Seiten: 246
  • Format (B x H x T): 178 x 254 x 15 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Autoren

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