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Davide Mauri

A place for my thoughts and experiences the Microsoft Data Platform

BI Virtual Chapter: “Adaptive BI: Engineering a BI Solution”

On the next 20th Semptember I’ll deliver a session on a topic that is IMHO really important but is not yet covered enough:

Adaptive BI: Engineering a BI Solution

Are you starting to create a BI solution....but where do you begin with? How to setup everything correctly so that you'll be able to handle new features required by the customers easily and without too much effort? Which standard do you put in place so that everyone who will join the project will be immediately operative? How do you define your BI architecture so that it can be sound and flexible and the same time?  All these questions come out every time someone has to start a BI project. In this session I'll present a set of standard rules we use to create our BI project, consolidated in more than five years of development (since SQL 2005 was released) and that allow to put some technical rules that helps you to start in the correct way right from the beginning: naming convention, architecture decisions, database unit testing, layering and everything you need to know to build an "Adaptive" Business Intelligence solution. The idea is to be flexible in terms of architectural decision but have some well-known rules in the solution to make it “engineerable”: in one word..."Adaptive"!

If you’re into BI this session can give you some interesting ideas on how to structure your next project. See you in cyberspace here

https://www.livemeeting.com/cc/usergroups/join?id=C97PWB&role=attend&pw=Z%40%2B%5Ew%2B%40h4

on Sept 20th at 12pm EST.

PS

At the end of the session I’ll show also how the rules can be applied automatically with the right tools, creating an entire package to load a dimension in less then 1 minute, with all best pratices and standard in place!

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Published Thursday, September 9, 2010 12:54 PM by Davide Mauri

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About Davide Mauri

Director of Software Development & Cloud Infrastructure @ Sensoria, an innovative smart garments and wearable company. After more than 15 year playing with the Microsoft Data Platform, with a specific focus on High Performance databases, Business Intelligence, Data Science and Data Architectures, he's now applying all his skills to IoT, defining architectures to crunch numbers, create nice user experiences and provide meaningful insights, all leveraging Microsoft Azure cloud. MVP on Data Platform since 2006 he has a very strong background development and love both the ER model and OO principles. He is also a fan of Agile Methodology and Automation, which he tries to apply everywhere he can, to make sure that "people think, machines do".

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