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Jul 18 RWDG Webinar: How to Govern Data Lakes

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DATE: July 18, 2019, This webinar has passed. The recording will be made available On Demand within two US business days. 

TIME: 2 PM Eastern / 11 AM Pacific

PRICE: Free to all attendees

This Webinar is Sponsored by:

Logo for Real-World Data Governance Webinar Series from DATAVERSITY and Bob Seiner

About the Webinar

Are you spending your summer down by the Data Lake? If so, then you want to make certain that the lake is clean and that you pick the best place to swim. The Data Lake is the new analytical paradise that many organizations are banking on to become that answer to improved insights. And you need to prevent the lake from turning swampy.

In this month’s RWDG webinar, Bob Seiner and a special guest will focus on how to govern the data in your Data Lake. Bob’s interaction with his guests is always lively, fact filled and this month they will help you to successfully swim through major barriers to provide an effective and valuable data resource.

In this webinar, Bob and his guest will discuss:

  • The relationship between Data Lakes and Data Governance
  • Preventing your Data Lake from becoming a Data Swamp
  • Governing the Metadata associated with your Data Lake
  • Leveraging governed data to provide trustworthy Analytics
  • Measuring the value of a governed Data Lake

About the Speakers

Robert S. Seiner

President and Principal, KIK Consulting and Educational Services

Bob Seiner WEB-7Robert S. Seiner is the President and Principal of KIK Consulting & Educational Services and the Publisher of The Data Administration Newsletter (TDAN.com). Bob was recently awarded the DAMA Professional Award for significant and demonstrable contributions to the data management industry. Bob specializes in “non-invasive data governance”, data stewardship, and meta-data management solutions.

Evan Terry

Chief Analytics Officer, Velocity Mortgage Capital

evan-terry200x240.jpgEvan brings over 20 years of consulting experience in IT environments, including leading software development projects, designing and implementing IT and data strategies, and working on long term, cross departmental projects in such diverse industries as automotive, retail, state government, and e-commerce payments. Evan’s areas of expertise include designing practical analytics solutions, aligning business and IT strategies, and implementing data management and governance programs. He co-authored the data modeling book Beginning Relational Data Modeling, and has spoken about data and process quality and systems design. Evan has a BA in Economics from McGill University and an MBA from Columbia Business School.

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