Because every organization produces and propagates data as part of their day-to-day operations, data trends are becoming more and more important in the mainstream business world’s consciousness. For many organizations in various industries, though, comprehension of this development begins and ends with buzzwords: “Big Data,” “NoSQL,” “Data Scientist,” and so on. Few realize that any and all solutions to their business problems, regardless of platform or relevant technology, rely to a critical extent on the data model supporting them. As such, data modeling is not an optional task for an organization’s data effort, but rather a vital activity that facilitates the solutions driving your business. Since quality engineering/architecture work products do not happen accidentally, the more your organization depends on automation, the more important are the data models driving the engineering and architecture activities of your organization. This webinar illustrates data modeling as a key activity upon which so much technology and business investment depends.
Specific learning objectives include:
• Understanding what types of challenges require data
modeling to be part of the solution
• How automation requires standardization on derivable
via data modeling techniques
• Why only a working partnership between data and
the business can produce useful outcomes
At least it is free? Seriously we have been doing this since 2012 and are ever perfecting the format based around a 60-minute lecture, followed by a 30 minute question & answer session.
Data Ed Online is my monthly data management webinar that focuses on how to unlock business value through foundational data management practices and techniques
All webinars consist of a 60-minute presentation, followed by a 30-minute interactive Q&A session - come join the discussion!
Produced in conjunction with our long time partners at Dataversity who have the finest collection of data management educational resources on the web.
Yes - all registrants will receive a link to the recording a couple of days after each event