SQL Analysis Services Data Mining Documentation

Introduction

SQL Analysis Services (DSS) is a powerful platform for data mining, reporting, and business intelligence. It provides a comprehensive environment for transforming and analyzing data from various sources.

This documentation covers key areas within DSS, focusing on the data mining functionality. We will explore creating data models, applying filters, and generating insightful reports.

Data Modeling

Data modeling is a crucial first step in DSS. You must define the structure of your data before you can analyze it.

We'll look at creating simple data models with common fields.

Data Types

DSS supports various data types. Understand the nuances of each to ensure accuracy and efficiency.

Common data types include: Numeric, String, Date, Boolean, None.

Filtering

Filtering is the core of data analysis. DSS allows you to create simple filters to focus on specific data.

Let's see an example of filtering a table:

Create a filter to display only rows where the 'Status' column is equal to 'Active'. You'll see a filter control to define the criteria.

Report Generation

DSS generates various reports based on your data analysis.

You'll be able to create custom reports that showcase your findings.

Link to Example Data

For complete understanding, we provide a link to a demonstration data model:

Data Model Example

Next Steps

Continue exploring the different data modeling techniques and filtering options available in DSS.