a complete bi solution in about an hour!

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In this presentation Aaron will cover how to collect data from multiple SQL Servers using SQL Server 2008 Integration Services (SSIS). Then he will use SQL Server Reporting Services (SSRS) to report detail on that data. After that he will use SQL Server Analysis Services (SSAS) to create a KPI. Finally he’ll present that KPI on a dashboard via a web page. The goal of this presentation is to show how seamless the Microsoft Business Intelligence products are. If you’ve only used a few of these products, you’ll appreciate seeing them together all at once. Code will be provided.

TRANSCRIPT

A Complete BI Solution in about an Hour

Aaron Stanley King@trendoid

“Business Intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making.“-Boris Evelson, Topic Overview: Business Intelligence

What is Business Intelligence?

Data storage Electronic Data Interchange (EDI) Online Analytical Processing (OLAP) Development support for predictive analytics Reporting Development support for integration Ad-hoc querying support

What do we need for a complete Business Intelligence solution?

Collect data using SQL Server Integration Services (SSIS)

Analyze the data using SQL Server Analysis Services (SSAS)

Report on the analysis using SQL Server Reporting Services (SSRS)

Display that information in a custom website as a dashboard

Agenda

One installation for all services Development and management tools

included One server install Low minimum hardware requirements

Minimum: 1.4 GHz processor Minimum: 1 GB RAM Minimum: 5 GB Hard drive space free

*** subject to change and your exact environment

Before we code, installation ;-(

Multidimensional or Tabular Mode

You can’t install both on one instance You will need to install two instances of SSAS

That means run the setup twice servername\multi and servername\tabular Multidimensional

MDX Large dataset Complex calculations, relationships and named sets Uses Facts and Dimensions

Tabular DAX Power View Large number of external data sources Uses Tables

Dimension Tables Provide context Primary keys Smaller than fact tables

Fact Tables Used for measurements Numerics or integers Foreign keys Larger than dimension tables

Dimensions vs. Facts

Data Warehouse Design

http://msdn.microsoft.com/en-us/library/aa902672(v=SQL.80).aspx#sql_dwdesign_topic3

Data Warehouse Design

Demo

Aaron Stanley King http://www.aaronstanleyking.com @trendoid on Twitter

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