October 8, 2015 - Data Modeling in the Age of Big Data
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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS
Dear TDWI Carolina Chapter BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI Carolina Chapter meeting on Thursday, Oct 8, 2015. Come meet other local professionals, swap business cards, share ideas, and exchange career advice while listening to quality presentations in a vendor-neutral setting, which is the hallmark of TDWI education. Our speakers will be DW/BI end-users reporting on their success and lessons learned implementing various BI tools or projects. Please see our detailed meeting agenda below.
When: |
Thursday, October 8, 2015, 8:30am – 12:30pm |
Where:
|
MetLife
Building 2
201 MetLife Way/9001 Weston Pkwy
Cary, NC 27513 |
Topics: |
“Data Modeling in the Age of Big Data”
by Dave Wells, Consultant, Infocentric
Discussion: What aspects make healthcare data truly “Big Data”
by Robert Heise, Director, Humedica
Panel Discussion – Attendees will have opportunity to provide questions that a Chapter member will collect during the break. Please think of your burning questions regarding Big Data with respect to Data Modeling, Healthcare, etc. |
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Agenda:
8:30 – 8:50 |
Registration, Peer Networking, Light Refreshments |
8:50 |
Opening Remarks by Patty Hoth, TDWI, Chapter President |
9:00 – 10:30 |
Presentation: "Data Modeling in the Age of Big Data”
Dave Wells, Consultant, Infocentric |
|
Abstract
The big data phenomenon expands the purpose and changes the role of data modeling. The level of uncertainty about data modeling in today’s data ecosystems is high. Most practitioners have more questions than answers. Has data modeling become obsolete? Does unstructured data make modeling impractical? Does NoSQL imply no data modeling? What are the implications of schema-on-read vs. schema-on-write for data modelers? Do entity-relationship and star-schema data models still matter? What are the modeling implications of architectural shifts such as the data lake? Data modeling is still an important process—perhaps more important than ever before. But data modeling purpose and processes must change to keep pace with the rapidly evolving world of data. This presentation examines the principles, practices, and techniques that are needed for effective modeling in the age of big data. You will learn:
- To distinguish between data store modeling (schema on write) and data access modeling (schema on read) and when each is useful
- The elemental characteristics of data that provide a common denominator for data modeling for all types of data
- How the common denominator is used to map various kinds of databases, including relational, dimensional, NoSQL, NewSQL, graph, and document
- When traditional logical-to-physical modeling works and when it makes sense to reverse the process as physical-to-logical
- Trade-offs between methodological rigor and discovery-driven exploration in data modeling
- The relationships of data modeling, data lake, and data governance in the age of big data
|
10:30 – 10:40 |
Break |
10:45 – 11:15 |
Presentation: Discussion around what aspects make healthcare data truly “Big Data”
Robert Heise, Director, Humedica |
|
Abstract
Discussion around what aspects make healthcare data truly “big data”. Discuss how this data is becoming voluminous, unstructured etc. Rob will speak to some very pragmatic steps to take to get the Hadoop/big data technology projects moving in the right path, how to avoid pitfalls, etc. |
11:30 – 12:00 |
Panel Discussion
Dave Wells, Consultant, Infocentric and TDWI Instructor
Robert Heise, Director, Humedica
David Rowe, Partner, C2, ITS
Glen Watson, AVP, Data Management & Business Analytics, Metlife |
12:00 |
Closing Comments
Raffle Drawing
Networking |
DON'T MISS THIS EVENT! Please RSVP below
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Space is limited so sign up early!
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Bios of Presenters
Dave Wells
Dave Wells is actively involved in information management, business management, and the intersection of the two. As a consultant he provides strategic guidance and mentoring for Business Intelligence, Performance Management, and Business Analytics programs - the areas where business effectiveness, efficiency, and agility are driven. On a consulting basis Dave works with TDWI to manage curriculum and plan educational events. He teaches at nearly all of the TDWI conferences and works on a contract basis as TDWI’s primary course developer. As a founding partner of eLearningCurve, he works as the Director of Education, as a course developer and instructor, and as a board member for Certified Data Steward (CDS). On a personal level, Dave is a continuous learner, currently fascinated with understanding how we think, both individually and organizationally. He studies and practices systems thinking, critical thinking, lateral thinking, and divergent thinking, and is now working to develop deep understanding and appreciation for the art and science of innovation.
To contact Dave send email to [email protected].
Robert Heise
Accomplished Data Warehouse and Analytics professional with substantial experience in successfully envisioning, developing, and managing a significant business P&L commercializing outward facing data and analytical products. An entrepreneurial and innovative leader who is recognized for constantly raising the bar and pressing the company toward stretch levels of achievement.
David Rowe
David has over 20 years of experience in the Business Intelligence and Data Warehouse space. He started his career in 1994 at GE IT Solutions and spent 5 years with them as the Director of their BI/DW practice. In 1999, Dave, along with two other Partners, started Cornerstone Consulting and grew that into a successful Consulting firm specializing in BI/DW and QA initiatives. During this time, Dave spoke on many occasions at symposiums and various forums throughout the country. In 2011, C2 IT Solutions was formed and has provided BI strategy and deployment services for many clients in the Minneapolis and Raleigh market.
Glen Watson
Glen has held various positions in the IT field and spent most of his career in the consulting world. He has an extensive background in large scale/enterprise class custom software application development involving multiple teams located around the world. Glen has been heavily involved with Master Data Management implementations over the last 7 years using a number of different vendor products. Since joining Metlife he and his teams have been responsible for many projects, including Global Party Management (Client 360/GPM) both the Tactical and Strategic platforms, Enterprise Death Match (again both Tactical and Strategic), OLED 1,2 and 3, Start4, Strategic Privacy Solution, Do Not Solicit/Privacy, CCI-ANI (Call Center), Compliance and Complaints and GPM Cutover, as well as Campaign Management, the Informatica Managed File Transfer implementations and providing the ongoing support for the Auto and Home Data Warehouse.
Also a father of two and a sports nut. Specifically NBA, NFL and NCAA hoops and football. If you want to chat about sports, I'm your guy! Fun fact about me: I'm a classically trained opera singer. I was on a full scholarship as a vocal performance major during my undergraduate degree (at Houston Baptist University).