
Seminar Description
In this age of self-service data analytics, managing the inventory of available data is an important part of Data Management. Data analysts must be able to find, understand, and access the data that they need for every analysis use case. Yet Data Governance controls must be in place to protect data that is subject to privacy, security, and regulatory constraints. Data curation and data cataloging are the core processes used to manage the data inventory.
Data curation oversees a collection of data assets available to those who use and analyze data. Cataloging maintains the metadata that is necessary to support browsing, searching, evaluating, accessing, and protecting datasets. Curating and cataloging work together to meet the data needs of business and data analysts.
But curating and cataloging can raise many questions. What is the difference between shared data and curated data? What kinds of problems arise with multiple data catalogs, and what are the solutions? What kinds of metadata belong in the data catalog and how do you collect all of that metadata? Why are analysts not using the data catalog to its full potential? The answers to these and many similar questions are found by looking into best practices for curating and cataloging data.
Half-Day Seminar Price:
Last day to register: Monday October 4, 2021
Seminar CEUs: 3.25
Seminar Date: October 6, 2021
Seminar Time: 11 AM – 2:30 PM Eastern / 8 AM – 11:30 AM Pacific
In this training, attendees will learn tips and best practices for:
NOTE: If the scheduled time is not convenient for your time zone and you have a group who would like to take this seminar at a time more convenient for you, please email [email protected] to coordinate a new course schedule.
Who Should Attend?
This half-day live online seminar is intended for business and IT professionals at all levels who have been tasked with investigating or implementing data cataloging and data curation on behalf of their organization. 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, 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.
Seminar Format
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