Titlebook: SQL Server Analytical Toolkit; Using Windowing, Ana Angelo Bobak Book 2023 Angelo Bobak 2023 SQL Server development.Analytical tools.Aggreg

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Finance Use Case: Ranking Functions,Ranking functions, when applied to financial data, can produce interesting and valuable information for analysts or portfolio managers. This information is used to predict future trading patterns based on historical patterns. A properly managed portfolio based on solid analytical data and analysis will generate profits (hopefully).

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Plant Use Case: Analytical Functions,We are going to add a couple of new tools to our toolkit in this chapter. We will take a quick look at Report Builder and also Analysis Services’ multidimensional cubes.

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Summary, Conclusions, and Next Steps,Congratulations! This is our last chapter. Let’s wrap things up by summarizing what we learned and also looking at the tools in our toolkit and where to get them. I might even tell you how to create the databases and load them too! We will also discuss how to set up the folders for storing code and also the physical database files.

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Angelo BobakIs your one--stop shop to get started with statistical data analysis and data mining using TSQL.Provides modifiable templates to use for your unique applications.Gives just enough theory to introduce

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Finance Use Case: Aggregate Functions,s available to us to analyze a stock trading scenario. We will dedicate one chapter to each category of functions. Each function will be used in a query. We will examine the results by looking at the output and, then in most cases, copying the output to a Microsoft Excel spreadsheet so we can generate a graph or two to visualize the results.

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Finance Use Case: Analytical Functions,ce analysis, but we will also take a look at a few strategies that involve variations of the queries, like from . to reporting table–based queries to using memory-enhanced tables to see which scheme yields better performance.