RESEARCH & RESOURCES

March 8, 2017: “Logical Data Warehousing and Data Federation”

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ATTENTION ALL BI/DW AND ANALYTICS PROFESSIONALS
Dear NYC Tri-State BI/DW and Analytics Professionals,
We cordially invite you to attend our upcoming TDWI NYC Tri-State Chapter meeting on March 8, 2017. 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:

Wednesday, March 8, 2017, 9:00 a.m.

Where:

 

 

Information Builders
Two Penn Plaza
New York, NY 10121-2898

Topic:

“Logical Data Warehousing and Data Federation”

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Agenda:

8:30 – 9:00

Registration, Light Breakfast & Peer Networking

9:00 – 9:15

Call to Order & Introductions

9:15 – 10:00

Keynote by Kumar Ramamurthy, Sr. Vice President, Global Enterprise Information Management Practice Head, VirtusaPolaris.
An Overview of Federation and how it is used today

 

Abstract

Data application architects are under great pressure to deliver data to decision makers faster than ever before and at less cost. Many data managers are turning to data federation middleware as an important tool in today’s data integration portfolio to serve users’ critical information by querying and joining data from multiple sources on the fly. In the federation software solution, a virtual database is created that does not contain the data itself. Instead, it contains information about the actual data and its location. A key issue is whether data federation technology should be used in place of a data warehouse to save on the costs associated with creating a permanent, physical database or it whether federation should be considered as an enhancement. Since this allows the person performing the analysis to aggregate and organize data quickly without having to request synchronization logic or copy the data until it's absolutely necessary, we pose the question: is federation an innovative solution or a journey down a winding path?

Key Questions to Explore:

  • What does a federated architecture look like?
  • When to use federation? When not to? 
  • How have newer technologies changed the usage of data federation?
  • Are large Enterprise Data Warehouses a thing of the past?
  • What are the advantages of using federation?
  • What are the challenges of using federation?
  • What are some of the key vendors in the space?

PREREQUISITES:

  • This session is intended to be interactive. The presenters will encourage discussion throughout the presentation.

 

10:00 – 10:20

Networking Break

10:20 – 11:20

Panel Discussion: Views on Data Federation
Facilitator - Kumar Ramamurthy, VirtusaPolaris
Panelists:
CISCO
Robert Eve, Production Management Director at Cisco
Data and Analytics Software
Teradata
Todd Walter, Chief Technologist – Americas
Teradata Corporation
Information Builders 
 Jake Freivald, Vice President of Marketing, Information Builders

11:20 – 11:50

Practitioner Experience
Prasanna Vangara, Executive Director, Morgan Stanley
Head of Data Federation, Data Quality, and Metadata Management in its Institutional Securities Group

11:50 – 12:00

Closing Remarks

12:00 Noon

Adjournment

DON'T MISS THIS EVENT! Please RSVP below
Click here to register for the next upcoming event

 

Space is limited so sign up early!

For more information about TDWI Membership, contact chapters@tdwi.org
To contact a Chapter officer, click on name of the officer located at the bottom of this page.

YOU WILL LEARN:

  • What a federated architecture looks like
  • Advantages and challenges of using federation
  • Impact on the Enterprise Data Warehouse
  • Newer technologies that have changed data federation
  • Who are the experts in this space

Bios of Presenters

Keynote Speaker

Kumar Ramamurthy, Sr. Vice President, Global Enterprise Information Management Practice Head, VirtusaPolaris.

Kumar is Chief Technologist for the Data Warehouse, BI-Analytics, Enterprise Information Management and Big Data Practice at VirtusaPolaris.  He has deep experience in enterprise data architecture, database-related technologies, software platforms, and architecture assessments and earned a Masters in Computer Science from Bharathiar University, Coimbatore, India. He is particularly knowledgeable in Kimball and Inmon related data warehouse architectures and is adept at data integration, BI, data governance, database performance tuning, data modeling, and MDM areas. Of particular interest to Mr. Ramamurthy are SLA-driven engagement models, managed services models, outcome-based pricing models for data warehousing, EIM and big data projects.

Panelists

Robert Eve, Production Management Director at Cisco, Data and Analytics Software.
Bob drives new initiatives and provides thought leadership for Cisco’s Data and Analytics Software organization. He was the EVP of Marketing at Composite Software for seven years prior to its acquisition by Cisco in 2013. There, Bob established data virtualization as a category and coauthored the first book on Data Virtualization: Data Virtualization: Going Beyond Traditional Data Integration to Achieve Business Agility. In his career in enterprise software, Bob has held executive level engineering, marketing and business development roles at Oracle, PeopleSoft, Mercury Interactive, and Informatica. Bob holds an MS degree in Management from the Massachusetts Institute of Technology and a BS degree in Business Administration from the University of California at Berkeley.

Todd Walter, Chief Technologist – Americas, Teradata Corporation.
Todd is the Chief Technologist for Teradata across the Americas region. He has substantive expertise in big data, database engineering, and systems architecture and works closely with Teradata customers, colleagues, and alliance partners to evaluate and prioritize initiatives and implement data strategy and analytics. He works with organizations of all sizes and levels of experience, from start-ups to Fortune 100 companies and provides consulting services to enhance business results from big data, analytic discovery, and data warehouse technologies. He has been with Teradata for 29 years and has contributed significantly to Teradata’s unique design features and functionality.  He holds more than a dozen Teradata patents and is a Teradata Fellow, the highest technical award granted by the company. 

Prasanna Vangara, Executive Director, Morgan Stanley
Prasanna is an Executive Director at Morgan Stanley and currently the Head of Data Federation, Data Quality, and Metadata Management in its Institutional Securities group. Since joining the firm in 2003, he has held responsibilities designing and implementing database solutions for the Cash Equity and Listed Derivatives domain. Previously, Prasanna worked at Goldman Sachs as a Programmer Analyst and at SAP London, UK, as a Sybase Professional Service consultant delivering database solutions at several financial firms. Prasanna graduated with a Bachelor’s degree from India.

Jake Freivald, Vice President of Marketing, Information Builders
Jake is a Marketing Executive at Information Builders with extensive experience in product marketing, marketing operations, analyst relations, press relations, social media, strategic content creation, search-engine optimization, and more.  He is especially proud of a track record of excellent team-building and communication skills. With a background in consulting at Andersen Consulting, Jake is deeply involved in providing customer solutions through software, services, and data integration that yield real business value. Jake is very knowledgeable, passionate, and creative. He is a graduate of Cornell University.

 

NETWORK BEFORE, DURING & AFTER THE EVENT:

  • Website: http://tdwichapters.org/newyork
  • Twitter: @TDWINYC   |   Event Hashtag: #TDWINYC
  • LinkedIn Group: TDWI NYC Tri-State Area Chapter

We look forward to seeing you!

Jon M. Deutsch
President, TDWI NYC Tri-State Chapter

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