Monday, March 27, 2023
11:30 AM - 02:30 PM
Intermediate
Many companies today are facing the complexity of governing data that is scattered across multiple types of data stored on-premises, in multiple clouds, in SaaS applications, and at the edge. Somehow, they have to know what data they have out there, where it is, what data is deemed personally identifiable information, what data is considered confidential versus internal use only versus public, and how to manage data privacy, data access security, data loss prevention, data sharing, data usage, data retention, and data quality across the entire environment.
Also, it is not just structured data in files and databases that needs to be governed. What about office documents on laptops and file shares, SharePoint sites, email, web chat, and meetings? Some subsets of these may be considered confidential. In an era where data protection is critical, and data privacy may require compliance with multiple laws in different regions, countries, and states, the challenge is now to be able to govern data across a distributed landscape.
This session looks at this problem, defines the requirements to deal with it, and looks at what is needed from an organizational, process, policies, and technology perspective to solve it.
Mike Ferguson is the Managing Director of Intelligent Business Strategies. An independent IT industry analyst, he specializes in Data Management, analytics, big data, and enterprise architecture. With over 40 years of experience, Mike has consulted for dozens of companies on BI/Analytics, data strategy, technology selection, enterprise architecture, and Data Management. Mike is also conference chairman of Big Data LDN, the largest data and analytics conference in Europe, and a member of the EDMCouncil CDMC executive advisory board. He has spoken at events all over the world and written numerous articles. He was formerly a principal and co-founder of Codd and Date – the inventors of the Relational Model, and a Chief Architect at Teradata. He teaches classes in: Data Warehouse Modernization, Big Data Architecture & Technology, Centralized Data Governance of a Distributed Data Landscape, Practical Guidelines for Implementing a Data Mesh, Embedded Analytics, Intelligent Apps & AI Automation, Migrating your Data Warehouse to the Cloud, Modern Data Architecture, and Data Virtualization.