
Over the past few decades, Data Architecture has focused almost exclusively on managing data for analytics, with operational data viewed as “data sources.” Operational data managed by enterprise systems is much more than source data for analytics. It is the data used to run the business, whereas analytical data is used to observe the business. Business operations don’t work without operational data, yet we’ve largely ignored it as a critical part of Enterprise Data Management Architecture.
During the years that we’ve disregarded operational data, many changes have occurred in the world of enterprise systems and data. What was once primarily transactional systems have evolved to encompass transactions, workflow automation, process automation, commercial IoT, and industrial IoT. Today’s transactional systems are dominated by purchased products, each with unique semantics, data models, and proprietary Data Architecture. The result is a large accumulation of technical debt that limits data exchange, data sharing, data interfaces, data quality, and even data meaning.
Instructor Dave Wells discusses the concepts, techniques, and technologies that exist to meet enterprise and operational data challenges for modern data-centric organizations. It is time to step up to Operational Data Architecture for enterprise systems – to reduce technical debt and to prepare for changes yet to come. But a fragmented, technology-first approach is time-consuming, costly, and often chaotic. A well-designed Enterprise Data Architecture is built on a foundation of semantics – shared language among systems – that promotes interoperability and prevents Data Management chaos.
Two-Day Seminar Price:
Last day to register: Sunday June 23, 2024
Seminar CEUs: 12
Seminar Date: June 25 – 26, 2024
Seminar Time: 11 AM – 6 PM Eastern / 8 AM – 3 PM Pacific
During this live, online, two-day seminar you will learn:
Who Should Attend?
This two-day, live, online seminar is intended for business and IT professionals at all levels who have been tasked with understanding and implementing these types of technologies on behalf of their organization, as well as those who want to broaden their career opportunities through practical education. It does assume general business knowledge, but not specific technical knowledge or experience. It is appropriate for executives, departmental and/or project managers, data and enterprise architects, consultants, data scientists, BI professionals, and technical staff. The course is not designed for any specific business domain, and as such is applicable to any business function that is in need of more reliable information, such as finance, manufacturing, human resources, analytics, operations, and more.
We offer several bulk licensing options for corporate and group use.
Contact us for a follow-up discussion!
Seminar Format
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