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).
Read Online or Download Beginning Big Data with Power BI and Excel 2013: Big Data Processing and Analysis Using PowerBI in Excel 2013 PDF
Similar data modeling & design books
"The publication addresses a sorely lacking set of concerns within the genuine global. .. this can be a very well timed e-book. "-Peter Herzum, writer of commercial part manufacturing facility and CEO of Herzum SoftwareXML is a big enabler for platform agnostic information and metadata exchanges. besides the fact that, there are not any transparent approaches and methods in particular fascinated about the engineering of XML buildings to help reuse and integration simplicity, that are of specific significance within the age of software integration and internet providers.
This ebook constitutes the completely refereed post-proceedings of the thirty second foreign Workshop on Graph-Theoretic recommendations in desktop technological know-how, WG 2006, held in Bergen, Norway in June 2006. The 30 revised complete papers provided including one invited paper have been conscientiously chosen from ninety one submissions.
Entry Database layout & Programming takes you at the back of the main points of the entry interface, targeting the normal wisdom helpful for entry energy clients or builders to create potent database functions. while utilizing software program items with graphical interfaces, we regularly concentration a lot at the interface that we disregard concerning the normal techniques that let us to appreciate and use the software program successfully.
Company Intelligence method and massive info Analytics is written for company leaders, managers, and analysts - those who find themselves concerned with advancing using BI at their businesses or who have to greater comprehend what BI is and the way it may be used to enhance profitability. it's written from a normal administration viewpoint, and it attracts on observations at 12 businesses whose annual sales variety among $500 million and $20 billion.
- Model Building in Mathematical Programming, 4th Edition
- Database Modeling and Design: Logical Design, 4th Edition (The Morgan Kaufmann Series in Data Management Systems)
- Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications (Lecture Notes in Computational Science and Engineering)
- Database Development and Management, 1st Edition
Extra info for Beginning Big Data with Power BI and Excel 2013: Big Data Processing and Analysis Using PowerBI in Excel 2013
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.