Data Tech 2015-06-08 - Google Drive

Data Tech 2015-06-08 : Schedule


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2	Time		Auditorium (Fine Arts F2265)	Garden Room (Kopp A-B-C)	Partnership Ctr (P0808A)	Partnership Ctr (P0838)	Activities A2564/2566

3				Intro Track			Training Track
4	9:00		Adam Kocoloski	Mary Poppendieck	Drew Pulvermacher,	Dan Parker	Cliff Gilmore
5			Founder/CTO Cloudant, erstwhile particle physicist, CTO Cloud Data Services -IBM	Author/Speaker/Consultant, co-creator of Lean software development	Founder NightHawk Intelligence	Engineer- Target Technology Services
6			Dude, Where’s My State? Data Management in the World of Cloud Services Watch Video	Cognitive Bias in a Cloud of Data	Big Data.. Little Thinking Share the operational leverage decision makers can use from “Big Data” and the unintended side effects of AI.	Automating Cassandra deployments or Cassandra performance tuning	DataStax
7							Intro to Cassandra
8							2 - hours
9	9:50
10	10:00		Dan McCreary	Richard Superfine	John Hogue	Greg Hoelzer - Middleware Solutions Architect, Red Hat
11			Principal Consultant, MarkLogic	Sr. Solution Architect, UnitedHealth Group	Data Scientist-General Mills	Michael Heldebrant - Cloud Infrastructure Solutions Architect, Red Hat
12			Enterprise NoSQL Cost Models (Video)	Apache Hadoop 101	Productionizing Python on the Hadoop Ecosystem	Continuous Integration and Delivery of Containerized Databases
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14
15	10:50
16	11:00		Ravi Shanbhag	Adam Fokken	Emily Hawkins, Sr. Soln Architect, UHG	Fru Nde, Soln. Architect, BlueStem Brands	Dan McCreary
17			Director, Data Science, United Healthcare	Solutions Architect, Thomson Reuters	Lal Rajanpillai, Sr. Soln Architect, UHG	Jason Todd, Sr. Tech & Analytics Consultant	Principal Consultant, MarkLogic
18			Apache Solr: Search is the new SQL	Apache Spark 101	Comforts of SAS, Power of Hadoop	Designing and Building Scalable Enterprise BI solutions with Hadoop. (a.k.a Taming the Elephant)	Making Sense of NoSQL
19			Watch Video
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21	11:50						Break for Lunch
22	12:00		Lunch	Women in Tech Panel	Lunch	Lunch
23				Ann Kelly Moderator
24				Julie Durham Director Best Buy
25				Lisa Schlosser CTO FindLaw
26				Deb Brooks Senior Engineer FICO
27				Mary Poppendieck
28	1:00		Jamie Engesser	David Smith	Keys Botzum	Raja Doake
29			World Wide Vice President, Solutions Engineering, Hortonworks	R Community Lead at Microsoft. Formerly Chief Community Officer Revolution Analytics	Senior Principal Technologist- MapR	Senior Data Scientist, WindLogics
30			Delivering Enterprise-Ready Hadoop	The Business Economics & Opportunity Of Open-Source Data Science	SQL for NoSQL? Querying CSV files, JSON, HBase, MapR-DB, Hive, Mongo, and more through one high performance, schema free query engine	Spark Without Scala: PySpark and SparkR
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33	1:50
34	2:00		Frank Catrine - Enerprise Sales Engineer, Pentaho	Matteo Bertozzi	John Thompson	Roark Hilomen	Cliff Gilmore
35			Mike Mulligan- Enterprise Account Executive, Pentaho	Software Engineer, HBase Committer and PMC member- Cloudera	General Manager for Advanced Analytics- Dell Software	Fellow, SanDisk	DataStax
36			Internet of Things: Managing Unstructured Data (Video)	HBase Application Archetypes	The Technology Driving Analytics Everywhere and for Everyone	Keep Software Neutral – The Real Big Data Use Cases on Flash	Intro to Cassandra (Repeat)
37							2 - hours
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39	2:50
40	3:00		Rachel Pedreschi	Adam Waldal	Donnie Berkholz	John Hudzina
41			Lead Technical Evangelist - Datastax Enterprise and Data Science, DataStax	VP, Clinical Analytics, Optum	Research Director, 451 Research & Council Member / Sr. Developer, Gentoo Linux	Architect- Thomson Reuters
42			Enabling Search Applications using Cassandra	Zeppelin and Spark on YARN, Making Elephants Fly!	Commit Yourself Already: Contributing to Open Source	Application Specific Benchmarks with Apache Spark
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44
45	3:50		Networking Social
46	4:00
47
48			(MinneAnalytics is the Professional Organization of Data Science, Analytics, and Big Data Professionals in Minnesota and the Upper Midwest. It is incorporated as a Minnesota Non-Profit)
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50			This background color	Indicates a Sponsor is presenting. However, they are clearly instructed to not make any type of sales presentation whatsoever.
51	5:30
52				*Presentation titles are linked to slides or videos.

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