Beginning Big Data with Power BI and Excel 2013: Big Data by Neil Dunlop

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By Neil Dunlop

In Beginning colossal info with energy BI and Excel 2013, you are going to discover ways to resolve enterprise difficulties by means of tapping the ability of Microsoft’s Excel and tool BI to import information from NoSQL and SQL databases and different assets, create relational facts types, and learn company difficulties via refined dashboards and data-driven maps.

While Beginning great facts with energy BI and Excel 2013 covers famous instruments equivalent to Hadoop and the NoSQL databases, it acknowledges that the majority small and medium-sized companies don’t have the large information processing wishes of a Netflix, aim, or fb. as a substitute, it indicates the right way to import information and use the self-service analytics on hand in Excel with energy BI. As you’ll see in the course of the book’s a number of case examples, those tools―which easy methods to use―can practice a number of the comparable services because the higher-end Apache instruments many of us think are required to hold out in tremendous information projects.

Through guide, perception, suggestion, and case stories, Beginning huge info with strength BI and Excel 2013 will convey you the way to:

  • Import and mash up info from web content, SQL and NoSQL databases, the Azure industry and different sources.
  • Tap into the analytical energy of PivotTables and PivotCharts and advance relational facts types to trace tendencies and make predictions in line with a wide selection of data.
  • Understand easy information and use Excel with PowerBI to do subtle statistical analysis―including deciding upon developments and correlations.
  • Use SQL inside of Excel to do refined queries throughout a number of tables, together with NoSQL databases.
  • Create advanced formulation to unravel real-world company difficulties utilizing facts research Expressions (DAX).

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Extra info for Beginning Big Data with Power BI and Excel 2013: Big Data Processing and Analysis Using PowerBI in Excel 2013

Example text

Notice the headers with arrows at the top of each column. Clicking the arrow brings up a menu offering sorting and filtering options. info Chapter 2 ■ Excel As Database and Data Aggregator Figure 2-1. An Excel table Note that, with the current version of Excel, if you sort on one field, it is smart enough to bring along the related fields (as long as there are no blank columns in the range), as shown in Figure 2-2, where a sort is done by last name. To sort by first and last name, sort on first name first and then last name.

With the Pivot Table displayed on the screen, do the following: 1. Go to the Pivot Table Tools Analyze tab and select Pivot Chart. 2. From the Insert Chart pop-up shown in Figure 3-15, select the type of chart desired. info Chapter 3 ■ Pivot Tables and Pivot Charts Figure 3-15. Insert Chart dialog 3. If a clustered column chart is selected, the results will be as shown in Figure 3-16. info Chapter 3 ■ Pivot Tables and Pivot Charts Figure 3-16. Pivot Chart for sales by day of week Using Slicers Slicers can be used to filter data and to zoom in on specific field values in the Pivot Table.

To add a time line, do the following: 1. From the Pivot Table Tool Analyze tab, select Insert Timeline. Select sell date in the Insert Timeline window and click OK. The time period for the time line can be selected by clicking the down arrow at the upper right of the Timeline window to select years, quarters, months, or days. 2. As seen in Figure 3-18, Timeline and Slicer work together. A specific salesperson and date can be selected to view sales by that salesperson on that date. info Chapter 3 ■ Pivot Tables and Pivot Charts Figure 3-18.

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