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You are here :: Home Wednesday, May 27, 2015
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 Welcome to VanPASS!

If you are new to this site the first thing to know is that membership and attendance to any meeting is absolutely free.  All that we ask is that you RSVP for any meeting so we can get enough pizza for everyone.   Also, to recieve any of the newsletters and updates on meetings please register starting at the top right-hand corner.  Any questions can be address to me, Richard Baumet, at rbaumet@shaw.ca .  Thanks for dropping by!

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 Vancouver BC Chapter of the IIBA - vancouver.theiiba.org

 

 
Title
 
 
LUNCHTIME: End-to-End SQL Server Master Data Services  
&
The Data Catalog in Power BI... and Beyond
 
EVENING: Cloud-Based Machine Learning for the Developer 
 
RSVP's
 

https://www.eventbrite.ca/e/vanpass-may-lunch-tickets-16891325409

https://www.eventbrite.ca/e/vanpass-may-evening-tickets-16891374556

     
Presentation Abstract
 

This presentation describes how SQL Server Master Data Services can be used to implement Master Data Management (MDM). It introduces the discipline of MDM and maps common processes to the feature set of Master Data Services.

 

Topics include defining models, entities, attributes and hierarchies, to store and manage master data. Additionally, administrative tasks including business rules to validate data, the import and export of master data, model versioning, and permission management will be described. The two Microsoft user interfaces (the Master Data Manager web application, and the Excel add-in) will be covered, in addition to T-SQL scripting opportunities to automate master data processes.

 

This session will be of interest to data stewards, ETL developers and ETL administrators to appreciate what SQL Server 2012 (or 2014) Master Data Services can achieve.

 

The Data Catalog that currently ships as part of the Power BI for Office 365 provides capabilities for self-service invormation publishing and discovery, enabling users of Power BI to share, discover, understand, and consume data sets created in Power Query.  These capabilities are a vital component of self-service BI, but self-service information managment is just part of the story...


In this interactive session, we will briefly go over the capabilities delivered with the Data Catalog today, followed by a discussion about the high level plans for evolving the Data Catalog moving forward.  Plans include suppose for a more diverse set of data sources as well as integration into additional application experiences.  This is your opportunity to let us know how you would like to see the catalog to evolve!

 

Machine Learning is a subfield of computer science concerned with systems that learn from data. In this session, learn how a Microsoft Azure Machine Learning solution comes to life: From the creation of a workspace, to the preparation of data, to experimentation with machine learning algorithms, and then finally to the integration and embedding of predictive insights. This session has been specifically designed to describe machine learning fundamentals, and to help enable and inspire existing developers taking their first steps to leverage cloud-based predictive models delivered with Azure Machine Learning. It is guaranteed to thrill you with potential, and excite you with the relative ease in which it can be accomplished.

 
Speakers
 

Peter Myers 
 
Peter Myers has worked with Microsoft database and development products since 1997. Today, he specializes in all Microsoft BI products and provides mentoring, technical training, and training course content authoring for SQL Server, Office, and SharePoint. Peter has a broad business background supported by a bachelor’s degree in applied economics and accounting, and he extends this with solid experience backed by current MCSE and MCT certifications. He lives in Melbourne, Australia and has been a SQL Server MVP since 2007.
 
Julie Strauss
Julie Strauss is a Principle Group Manager with Microsoft for the Data Platform based in Redmond.

Date/Time
 
Wednesday, 2015/05/13, 12pm-2pm   Then again at 6pm-8pm
Agenda
 
 
 
Location
 
  • Microsoft Canada Suite 1100 – 1111 West Georgia Street
   
  
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 Microsoft

 

 

 

 

 

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