By Dan Clark
Knowing your company’s info hasn't ever been more uncomplicated than with Microsoft’s new strength BI package deal for Excel 2013. along with 4 robust tools—Power Pivot, strength View, energy question and tool Maps—Power BI makes self-service enterprise intelligence a truth for a variety of clients, bridging the conventional hole among Excel clients, enterprise analysts and IT specialists and making it more straightforward for everybody to interact to construct the information versions that could provide you with game-changing insights into your business.
Beginning energy BI with Excel 2013 courses you step-by-step in the course of the technique of interpreting and visualizing your information. Daniel R. Clark, a professional in BI education and a customary speaker on those issues, takes you thru each one software in flip, utilizing hands-on actions to consolidate what you’ve discovered in each one chapter.
Starting with strength Pivot, you'll create strong scalable information versions in an effort to function the basis of your info research. after you have mastered growing appropriate facts types, you are going to use them to construct compelling interactive visualizations in strength View. It’s usually essential to mix info from disparate assets right into a info version. strength question permits you to simply realize, mix, and refine facts from a number of resources, so that you could make actual judgments with all of the on hand info. Geographical information is one other universal requirement of knowledge research. utilizing energy Maps you are going to create appealing visualizations that map your info in house and time.
Beginning strength BI with Excel 2013 is your functional consultant to getting greatest perception out of your information, and proposing it with effect.
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Extra resources for Beginning Power BI with Excel 2013: Self-Service Business Intelligence Using Power Pivot, Power View, Power Query, and Power Map
Getting a duplicate value error In this example the ProductNumber is supposed to be unique in the Product table but it turns out there are duplicates. In order to fix this, you would have to change the query for the Product table data to ensure that you are not getting duplicates. Now that you know how to create table relationships in the model, you are ready to look at the benefits of using a star schema. Creating a Star Schema When creating a data model it is important to understand what the model is being used for.
The way you relate the different tables is through the use of keys. Each row in a table needs a column or a combination of columns that uniquely identifies the row. This is called the primary key. The key may be easily identified, such as a sales order number or a customer number that has been assigned by the business when the data was entered. Sometimes you will need to do some analysis of a table to find the primary key, especially if you get the data from an outside source. For example, you may get data that contains potential customers.
A table containing both a surrogate key and a natural key It is important that you are aware of the keys used in your sources of data. If you can retrieve the keys from the source, you are much better off. This is usually not a problem when you are retrieving data from a relational database, but if you are combining data from different systems, make sure you have the appropriate keys. Once you have the keys between the tables identified you are ready to create the relationships in the Power Pivot model.