November 7, 2014: Big Data Processing, Hadoop Cloud Data Lake, and Key Performance Indicators (KPI) Analytics
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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS
Dear Chicago BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI Chicago Chapter meeting on November 7, 2014 from 8:30 am-12:00 pm.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. We have three exciting presentations. Please see our detailed meeting agenda below.
When: |
Friday, November 7, 2014
8:30 a.m. to 12:00 p.m. |
Where: |
IBM Chicago Center
71 South Wacker Dr.
6th Floor
Chicago, IL 60606
312-529-9420 |
Topics: |
“Overview of HPCC Systems and Case Studies”, Brian Bounds, Director, Software Engineering , LexisNexis Risk Solutions.
“Looking at Hadoop “Big Data” in the rearview mirror…”, David Majcher, IBM Information Architect.
“Best Practices for Implementing Key Performance Indicators”, Chris Gentry, Business Intelligence and Data Warehousing Consultant.
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DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event
Agenda:
8:30-8:45 a.m. |
Arrivals and Networking
Opening remarks by Dave L. Majcher , TDWI, Chapter President |
8:45– 9:45 a.m. |
Presentation: “Overview of HPCC Systems and Case Studies”, Brian Bounds, Director, Software Engineering , LexisNexis Risk Solutions
Abstract:
Many organizations now have the need to process and analyze massive volumes of data. These data-intensive computing requirements can be addressed by scalable systems based on hardware clusters of commodity servers coupled with system software to provide a distributed file storage system, job execution environment, online query capability, parallel application processing, and parallel programming development tools. The HPCC Systems platform provides all of these capabilities in an integrated, easy to implement and use, open source high performance computing environment. This session will provide an overview of the HPCC Systems platform and present case studies of its use. |
9:45 - 10:30 a.m. |
Presentation: “Looking at Hadoop “Big Data” in the rearview mirror…”, David Majcher, IBM Information Architect
Abstract:
What would you have done differently after implementing a data lake? Come join David Majcher, IBM Information Architect, discussing the ins and outs of implementing a data lake along with best practices. A breakout session will follow discussing different implementation strategies focusing on technical and business drivers. |
10:30 - 10:45 a.m. |
Break | Networking |
10:45 - 11:45 a.m. |
Presentation: “Best Practices for Implementing Key Performance Indicators”, Chris Gentry, Business Intelligence and Data Warehousing Consultant.
Abstract:
Defining and implementing Key Performance Indicators (KPI) is a challenging proposition. This presentation provides best practices for companies looking to drive KPI business intelligence analytic solutions. These solutions are often delivered via dashboards and scorecards. The presentation describes how best to outline the strategy, KPI definition, and nuances of the solution implementation. |
11:45 a.m. – 12:00 |
Closing Comments & Wrap-Up |
DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event
Space is limited so sign up early!
To become a member at a 10% discount, please click here and use priority code chicpt1. For more information about TDWI Membership, contact [email protected].
To contact a Chapter officer, click on name of the officer located on the top right hand column of this page.
Presenter Bios
Brian Bounds, Director, Software Engineering, LexisNexis Risk Solutions
Prior to his career with LexisNexis, Brian was a consultant for numerous companies including, AT&T Bell Laboratories, Motorola, Lockheed-Martin, Citadel Investment Group, and Lucent Technologies. Fifteen years ago, he began his career implementing predictive analytic systems with Magnify Inc., a Chicago-based start-up provider of predictive analytic products and services. He led development of Claim Focus, targeting claims fraud for P&C insurance carriers. Now a part of LexisNexis, he works a variety of special projects and uses the HPCC Systems platform on a daily basis. Brian received his undergraduate degree in Mechanical Engineering from Rose-Hulman Institute of Technology and his Master's degree in Computer Science from Illinois Institute of Technology.
David Majcher, IBM Information Architect
David has been with IBM for 14 years as a subject matter expert in Data governance, Information Management, Data Life Cycle Management, Data Warehouse, Database and Analytics. He is the president of the local TDWI Chicago Chapter and lead for the Chicago DB2 Midwest users group. Dave has presented at hundreds of customers, IDUG, IBM and Data Governance conference in France. Before IBM, he was a system DBA for DB2 z/OS, IDMS, an application DBA for DB2, Teradata, Oracle, Informix and UNIX administrator along with owning his own consulting practice.
Chris Gentry, Business Intelligence and Data Warehousing Consultant
Chris Gentry is a 20+ year veteran in business intelligence and data warehousing. He has driven business intelligence implementations for hundreds of companies in a wide variety of industries world-wide. Chris’s implementations have garnered industry awards from organizations including IBM, Ascential, SUN, and MicroStrategy. In his capacity as past president and as a board member of TDWI Chicago, and frequent industry speaker on BI topics, Chris is widely recognized as a leader in the business intelligence community. Chris has also built BI consulting organizations from inception to multi-million dollar profit centers. Chris’s employment history includes senior business intelligence positions at Andersen Consulting, BP/Amoco, Silvon Software, and Director of Business Intelligence and IT Governance at CCC Information Services. Chris holds a B.A. in Economics from DePauw University, and an M.B.A. and Masters in Quantitative Analysis from Loyola University.