By Neil Dunlop
In starting tremendous information with energy BI and Excel 2013, you'll learn how to clear up company difficulties by way of tapping the ability of Microsoft's Excel and gear BI to import information from NoSQL and SQL databases and different assets, create relational information types, and research enterprise difficulties via subtle dashboards and data-driven maps. whereas starting gigantic info with energy BI and Excel 2013 covers favourite instruments resembling Hadoop and the NoSQL databases, it acknowledges that the majority small and medium-sized companies shouldn't have the large information processing wishes of a Netflix, objective, or fb. in its place, it indicates the best way to import info and use the self-service analytics on hand in Excel with energy BI. As you will see throughout the book's quite a few case examples, those instruments - that you already understand how to exploit - can practice some of the related services because the higher-end Apache instruments many folks think are required to hold out in mammoth facts tasks.
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Extra resources for Beginning Big Data with Power BI and Excel 2013
Find and select the icon for forms and press the Add ➤ button in the middle to put it on the Quick Access Toolbar. info Chapter 2 ■ Excel As Database and Data Aggregator Figure 2-22. Customize the Quick Access Toolbar menu 3. To use data forms, click the row that contains the data to be viewed in the form. Then click the Form icon in the Quick Access Toolbar to see the display shown in Figure 2-23. Fields can be edited in the data form. Click the Find Next and Find Previous buttons to move through the records.
Info Chapter 2 ■ Excel As Database and Data Aggregator 5. Select new Worksheet and then OK. The table will be imported, as shown in Figure 2-13. Some formatting may be required in Excel to get the table to be precisely as you want it to be for further analysis. Figure 2-13. Data from the Web imported into Excel Data Wrangling and Data Scrubbing Imported data is rarely in the form in which it is needed. Data can be problematic for the following reasons: • It is incomplete. • It is inconsistent. • It is in the wrong format.