Meeting/Event Information


September 27, 2018

Robert Abate; "DMBOK2: Big Data & Data Science". changed from 9/20 - 9/27
September 27, 2018
9:00 AM - 12:30 PM
60 Washington Square South
New York, NY 00000
Robert Abate; "DMBOK2: Big Data & Data Science". Overview of DAMAI DMBOK "Big Data & Data Science"

$0.00 member ticket

$20.00 Non-Member Ticket




Robert Abate  - Speakers Biography

 Robert Abate

A visionary/transformational information executive with passion and demonstrated experience turning data into actionable intelligence and building iterative development teams that drive collaboration.  He thrives where pushing the boundaries of conventional thinking is the norm and re-engineering / breakthrough innovations lead the way through market shifts and digital transformation.

His hands-on information architecture and engineering using leading-edge technologies has supported the development and execution of global information solutions that drive revenue, impact competitive edge, empower decisions, and drive business agility. He has lead industries with information transformation, increased data utilization, advanced analytics visualizations, and data monetization.

He has identified strategic opportunities that have radically changed markets / transformed business models including Wal-Mart’s Data CAFÉ receiving the Technology Project of the Year (2014). Credited as one of the first to publish on Services Oriented Architecture (1996) and the Abate Information Triangle (2004), he is a respected IT thought leader by his peers.



 "DMBOK2: Big Data & Data Science".


Title of Presentation: “DMBOK 2: Big Data & Data Science”

Speaker: Robert J. Abate, CBIP, CDMP

Brief description of the objective
and/or content of the presentation 

Attendee's will learn about Big Data and Data Science from the chapter author of the DMBOK 2.  He will review the chapter contents and allow for open discussion and questions.

Description/Abstract of Presentation: 

In this presentation, attendee’s will learn about the best practices in Big Data and Data Science that will enable and empower the next generation of businesses.

The whole information management landscape is changing to incorporate both traditional BI solutions (rear-view mirror) and Big Data / Data Science (exploratory data analysis including forward looking predictive & prescriptive analytics) into a holistic solution that enables a data-driven business world.  Learn from the primary author of this chapter on best practices, methods, tools and techniques.

Attendees Will Learn:

  • Overview The Process Of Big Data & Data Science
  • Essential Concepts
  • Big Data & Data Science Activities Revealed Including Real Examples
  • Big Data Toolsets & Techniques
  • Implementation Best Practices & Guidelines With Case Studies
  • Big Data Governance
  • Open Discussion: What does the future hold in store?

Additional Information about Presentation (anything else you consider pertinent to our consideration of your proposal, including additional reasons why your presentation will be beneficial to the audience):

I will explain the chapter contents in detail and show examples of Big Data & Data Science from work at Walmart & Kimberly Clark.


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