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Invited Speaker: George Trujillo - Designing the Next Generation Data Lake

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Hosted By
Paco M. and Omar O.
Invited Speaker: George Trujillo - Designing the Next Generation Data Lake

Details

Designing the Next Generation Data Lake

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Abstract:

Data Lakes and Analytic Platforms are continuing to evolve to address the changing needs of customers. Most existing data lakes were built one use case at a time without a proper data architecture or analytics strategy.

In this presentation, we will show the capabilities and characteristics of the next generation of data lakes (Data Management and Analytic platforms). We will discuss how new data lakes will accelerate time to insight, leverage cloud capabilities, separate compute and storage and optimize cloud storage.

Platform decisions, data ingestion architectures, data governance, model governance, security and designing an enterprise grade data lake are topics of discussion.

The goal of this presentation is to show how the next generation of data lakes will greatly reduce time to insight and platform complexity.

Bio:

George Trujillo is a passionate and energetic technology leader with over seven year’s experience in the delivery and implementation of enterprise big data platforms as well as twenty year’s experience in analytics and data management. George's roles in big data have included Master Principal Big Data Specialist, Managing Director of Big Data, Vice President of Big Data and Global Director of Big Data and Cloud technologies. Industry recognitions include Oracle Double Ace, VMware vExpert, recognized as of the "Oracle's of Oracle" and is an author of two books on Big Data and Virtualization.

Agenda:

6:30 Social
7:00 Presentation + QA

Location:

HomeAway North @ Domain (https://maps.google.com/maps?q=11800%20Domain%20Blvd.%2C%20Suite%20300%20%2C%20Austin%2C%20TX)

11800 Domain Blvd., Suite 300 , Austin, TX

RSVP:

• Seating is limited to the first 140 to RSVP.

• Please let me know if you have any questions about RSVP.

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Austin ACM SIGKDD - Austin's Big Data Machine Learning Group
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