Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Sensitive data sharing for analytics

Steven Touw (Immuta)
2:05pm–2:45pm Thursday, 09/29/2016
Location: 1 E 14
Average rating: *****
(5.00, 3 ratings)

What you'll learn

  • Accessing and sharing highly regulated and sensitive data
  • Understanding data privacy legal regulations and how to address them with technology
  • How to enable data scientists to collaborate and experiment with regulated data
  • Description

    In this new world order, data collection must come with a corporate responsibility to protect data. Sometimes this is a legal requirement, as in the EU’s data protection regulation (aka GDPR), Russia’s federal law on personal data, and Germany’s Bundesdatenschutzgesetz (BDSG), but many times, it’s only a social responsibility, a quite complicated and gray area—it’s all about what you feel is “right.”

    While sharing or selling your valuable data can be risky due to data privacy regulations and IP considerations, it can also generate revenue or help nonprofits succeed at world-changing missions. Steve Touw explores real-world examples of how a proper data architecture enables philanthropic missions and offers ideas for how to better share your data.

    A well-built governance strategy creates a workflow for the creation of advanced analytics with data privacy at the core of the design. Steve explains why up-front data governance is key; designing models/analytics and then going back to add data privacy controls is much more difficult, sometimes impossible, and always very risky.

    Topics include:

    • Dynamic policies built into disparate and changing data sources
    • A low barrier to entry and common access layer to enforce policies, control data access, and audit all actions
    • Using technology to enable scaling of “data knowledge”

    This session is sponsored by Immuta.

    Photo of Steven Touw

    Steven Touw


    Steve Touw is the cofounder and CTO of Immuta. Steve has a long history of designing large-scale geotemporal analytics across the US intelligence community, including some of the very first Hadoop analytics, as well as frameworks to manage complex multitenant data policy controls. He and his cofounders at Immuta drew on this real-world experience to build a software product to make data security and privacy controls easier. Previously, Steve was the CTO of 42six (acquired by Computer Sciences Corporation), where he led a large big data services engineering team. Steve holds a BS in geography from the University of Maryland.