Transcript Presenter

PASS BA Virtual Chapter
Presents:
“Insider's Introduction to Microsoft Azure
Machine Learning (AzureML)”
September 18, 2014
Email - [email protected]
PASS Business Analytics Updates
Chapter Leader – Dan English
Dan is a Microsoft SQL Server MVP, author, on the
leadership team for the MN Microsoft BI User Group, and
is the Business Intelligence Practice Manager at Superior
Consulting Services in MN.
Chapter Co-Lead – Paras Doshi
Paras is a consultant at SolidQ, Microsoft Community
Contributor awardee and Blogger. He is passionate about
helping businesses extract valuable insights from data.
PASS Business Analytics Virtual Chapter
http://tinyurl.com/linkedinpassbavc
Twitter handle @passbavc
https://twitter.com/passbavc
YouTube Channel
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Sept 18 – Insider's Introduction to Microsoft Azure
Machine Learning (AzureML)
Abstract
Microsoft has introduced a new technology for developing analytics
applications in the cloud. The presenter has an insider's perspective,
having actively provided feedback to the Microsoft team which has
been developing this technology over the past 2 years. This session
will 1) provide an introduction to the Azure technology including
licensing, 2) provide demos of using R version 3 with AzureML, and 3)
provide best practices for developing applications with Azure
Machine Learning.
Presenter – Mark Tabladillo (@marktabnet http://marktab.net)
Mark Tabladillo is a Microsoft MVP and SAS expert. He helps teams
become more confident in making actionable business decisions
through the use of data mining and analytics. Mark provides training
and consulting for companies in the US and around the world. He
also teaches part-time with the University of Phoenix. He tweets
@marktabnet and blogs at http://marktab.net.
October 16 - How to incorporate “Big Data” in
Analysis Services cubes?
Abstract
Free form text is estimated to make up 70% to 80% of a company’s data assets and is
considered significantly underutilized from an analytical perspective. There are
numerous sources for this growing pool of unstructured data such as customer
email, call center notes, chat logs, satisfaction surveys or claim forms to name a few.
Is your company leveraging all of its data assets? Historically, it has been very
difficult to analyze text records for trends or patterns due to the free-form nature of
this data. Recent advances in text mining have helped to distill and expose their
content. The key to realizing the business value of text mining isn’t found in the
sophistication of the clustering algorithms, but rather in the way those clusters are
combined with structured data and then presented to the business analyst. Text
clustering involves the logical grouping of text records based on the similarity of
important terms in the documents. While some insights will likely surface through
the examination of the text clusters themselves, the most significant value will occur
when the text clusters are analyzed in combination with related structured data.
Important facts reflected in thousands or millions of documents can be analyze
along with structured data elements such as time, location or products to turn new
business insights into a sustainable competitive advantage.
Presenter – Reid Karabush
Reid Karabush is President of Decision Systems Inc., based in Northbrook, IL. His
expertise includes over twenty years specializing in the field of business performance
management and analytics, and is recognized nationwide as an expert in these field.
November 13 - The 13 Excel features that Database
developers should know about
Abstract
In the beginning, SQL Developers viewed Excel as the enemy – vowing to take every
data entry spreadsheet and turn it into a beautiful relational database application
with validations.
But times have changed, and Excel has come back around, but in a different
light. Business users rely on Excel for analytics out of the data we provide them (and
even for data where we can’t give them a clean version). Even if developers don’t
use Excel themselves, they owe it to themselves and their companies/clients to be
aware of the many Excel features for “slicing and dicing” data. In this presentation,
I’ll show 13 different features in Excel where knowledge will help developers to speak
the same language as their users – everything from PowerPivot, PowerView,
PowerQuery and PowerMap features to advanced Excel formulas and Excel “what-if”
functionality. And who knows – maybe a few developers will walk away with some
ideas for using Excel for some of their personal development projects!
Presenter – Kevin S. Goff (http://www.kevinsgoff.net)
Kevin is a Microsoft SQL Server MVP and database architect, developer, speaker,
author on .NET, SQL Server, and Business Intelligence topics. Frequent speaker at
community events in the Mid-Atlantic region and regular speaker for the SQL
Live!360 Conference Brand.
Join Us in Seattle, WA
November 4-7, 2014
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Sep 10 10:00-11:00 (GMT-12:00)
MDX for Excel PowerPivot by Chris
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Sep 10 12:00-12:30 (GMT-05:00)
Indices Columnares en SQL Server 2014
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Sep 14 17:30-18:30 (GMT +02:00)
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Sep 16 11:00-12:00 (GMT -06:00)
Roadmap to Better Performance:
Reading Query Plans by Erin Stellato
Global Spanish
Sep 17 12:00-12:30 (GMT -05:00)
Aprendamos DAX by Ahias Portillo
Business Intelligence
Sep 17 13:00-14:00 (GMT -08:00)
Absolute beginners presentation for
Power BI for Office 365 by Kevin Goff
Business Analytics
Sep 18 12:00-13:00 (GMT -05:00)
Insider’s Introduction to Microsoft
Azure Machine Learning (AzureML) by
Mark Tabladillo
Business Intelligence
Sep 25 07:00-08:00 (GMT -08:00)
Using Power BI for Managing Personal
Fitness by Matthew Roche
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