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Also known as Project Astoria, ADO.NET Data Services provides middle-tier support for accessing SQL Server databases through REST-style queries and entity data models (EDMs).

The main report dashboard has now been started with examples of a column chart, line chart, and radial gauge. A text box has been added to allow navigation to a subreport, serving as a data extract that contains a table of raw data. For extra practice on your own, try to do the following to the dashboard report: 1. Add two more column charts to include the datasets ActivityLevel and NewLeads. 2. Add another radial gauge to include the dataset Quota. 3. Also, to the Data Extract report, add additional columns to the table to accommodate all of the fields created in the query provided in step 39. Figures 4-30 and 4-31 are examples of complete dashboard and data extract reports. The power of this dashboard is that it provides a simple visual interface for executives to use to understand the business from multiple perspectives and it provides the raw data in a format that can be exported to Excel with one click in order to engage in deeper analysis.

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Application programming interface (API)

Specifies the percentage by which memory can be extended to support the aggregation operation. Optimizes the transformation by prespecifying the expected number of distinct values the task can write.

This is a well-defined interface provided by an application or service to support requests and communications from other applications.

Unused The task can write about 500,000 keys. The task can write about 5,000,000 keys. The task can write more than 25,000,000 keys. Specifies the exact number of values to expect. If populated, its value takes precedence over count distinct scale value.

Asymmetric encryption is encryption that requires two different keys: one to encrypt data and another to decrypt it. The most common form of asymmetric encryption is public key encryption, in which the two keys are mathematically related.

At the intermediate analytics stage, we build on the solid data foundation we have established in the basic stage and layer on OLAP and enhanced data management techniques. These tools and techniques allow us to deliver improved performance for larger sets of data and increased options for how power users may interact with and explore the data. The intermediate stage fully leverages the work done at the beginning stage and allows your organization to deal with deeper questions that business users may be asking. You ll know there is demand to move to the intermediate stage if you are getting requests from users like these: I can see how my sales team is performing at the current moment, but I d like to better understand how the overall pipeline is changing over time (i.e., how much money in proposals do we have outstanding today compared to last quarter at this time ). I have good visibility into my marketing spending on online ads because of the data automatically extracted from Yahoo and Google, but I need to look at this as one overall program by keyword without having to run two separate reports. These SSRS reports are great, but they just take too long to run. Is there any way to speed this up I like having access to my data in pivot tables. Can we open up the data behind this report for one of our analysts to really look through for hidden patterns

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