Managing and Governing your Data Assets from Edge to AI

Abstract:
From autonomous vehicles and surgical robots to churn prevention and fraud detection, enterprises rely on data to uncover new insights and power world-changing solutions. Organizations today require multi-function analytics capabilities across all data types and sources to eliminate silos and speed the discovery of data-driven insights. With this flexibility also comes the responsibility of ensuring that your data is secured and governed across any infrastructure, on-prem, cloud or a hybrid from Edge to AI.

In this discussion, we will walk through how organizations are leveraging open source Apache projects such as Ranger and Atlas to provide granular, dynamic, role and attribute-based security policies to prevent unauthorized access to sensitive or restricted data access. Along with security policies, we will also discuss how enterprise are leveraging auditing and governance capabilities to drive compliance with GDPR, CCPA and other privacy regulations.

BIO:
Muki Soomar is a solution engineer with Cloudera helping organizations with their digital transformation journey using cutting edge technologies within the Big Data open source eco-system for real-time and historical analytics. Muki is passionate about using innovative technologies that can help solve complex business problems enabling businesses to derive real-time actionable insights through Predictive and Prescriptive Analytics using CEP and ML; analyzing business events that are generated from not only internal transactional systems but also from external data sources such as social media, mobile devices and many others that the businesses have to react to every day.

Muki has over 20 years of experience in the IT industry and has worked in many different roles. He has successfully delivered many complex projects working across many different verticals, including Automotive, Finance, Insurance, Airlines, Medical Device Manufacturing, Healthcare, Market Research and Retail to name a few. Across these verticals, Muki has designed and implemented business solutions using SOA, data integration, complex events processing (CEP), Master Data Management (MDM) and Modern Data Architectures using technologies from the Hadoop ecosystem.

Prior to Cloudera, Muki worked at Hortonworks, Software AG, TIBCO Software, Rush Medical University, Allstate Insurance, CNA Insurance, RouteOne, Ford Motor and Chrysler.

Muki has three graduate degrees - an M.Sc in Mechanical Engineering from Queen's University, Canada, an MS in Engineering Mechanics from Michigan State University, East Lansing and and MS in Computer Science from University of Michigan, Dearborn.

Sponsors: I would like to thank Cloudera for both the food and an after meetup round of drinks.