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Speaker "Carmen Taglienti" Details Back

 

Topic

Designing Big data systems for business value with Privacy and Security in mind

Abstract

Today's Big Data systems are more than collections of data used for reporting. Businesses demand access to high quality information that can be used to drive insight and value for their customers. Real-time data architectures, like Kafka, can be used to provide "real-time" data to decision makers at the speed of business. The linkage of "real-time" decision making informed by historical data assets provides a dynamic event/response model. While this model is well known (vis a vis, the Lambda architecture), Privacy and Security has become a critical topic area for businesses as regulations like GDPR and CPA (California Privacy Act) look to protect the rights of the consumer. In this talk, we will discuss an architectural framework as well as a data governance model that can be used to address the seemingly opposing requirements of businesses to maximize their understanding of their customers while at the same time providing the privacy and security required to maintain their trust (and to avoid regulatory fines for non-compliance).
Who is this presentation for?
Business and Technical professionals looking to understand how big data systems can be designed to provide business value through data insight while supporting regulatory compliance challenges wrt Security and Privacy
Prerequisite knowledge:
Big Data Concepts Advanced Analytics for Business Real-time data Data Governance in Security/Privacy
What you'll learn?
How to design and/or oversee the design of Big Data platforms that provide for Security and Privacy for the data assets of your organization.

Profile

Carmen has over twenty-five years’ experience as a Big Data Analytics and Data Management expert. He is a recognized leader in the Analytics, Data Visualization, Data Science, Data Governance and “Big Data” space. Currently Carmen leads up Global Data Management and Governance team for State Street bank as the company moves to a data centric, governed, ontology approach to embracing data as a key asset within the organization. Prior to State Street, Carmen has help Global roles in Analytics, Data Architecture and Informatics. Additional, he has built and led an Information and Analytics Practice for Slalom in Boston, which focused on working with clients to enable business focused high impact analytics solutions driven by modern data architecture platforms. Carmen is also an adjunct professor at UC Berkeley and Merrimack College where he teaches courses in Data Visualization, Data Management and "Data Governance, Law and Ethics" in on-line graduate Data Science programs. Additionally, he teaches Data Warehousing, Visualization, Advanced Cloud Computing and Advanced Analytics at Northeastern University in their graduate Professional Studies curriculum. He is a published author and speaks at industry/technology events.