CIMP Metadata Management Package includes courses and exams necessary to earn Certified Information Management Professional (CIMP) designation in the Metadata Management track at a great discount.

CIMP Ex Metadata Management Package offers comprehensive education in metadata management capped with the highest level of Certified Information Management Professional designation (CIMP Ex) in the Metadata Management track at a great discount.

This 4-hour course is designed to provide the foundational metadata knowledge needed by anyone who has data management roles and responsibilities. It covers metadata basics such as the types and purposes of metadata, and explores core metadata disciplines of data modeling, data profiling, and data cataloging.

Instructors: David Wells and Arkady Maydanchik

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This 3-hour online training course will explore how curating and cataloging work together to meet the data needs of business and data analysts, to provide self-service data to complement self-service analytics, and to realize the promise of democratizing data analytics.

Instructor: Dave Wells

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The data is one of the four critical resources in an organization, along with the financial resource, real property, and the human resource. This 3-hour course provides an in-depth analysis of the impact of data disparity on the organization, and outlines best practices for data resource management.

Instructor: Mike Brackett

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This 5-hour course gives comprehensive treatment to the process and practical challenges of data quality assessment. It starts with systematic treatment of various data quality rules and proceeds to the results analysis and building aggregated data quality scorecard.

Instructor: Arkady Maydanchik

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Data profiling is the process of analyzing actual data and understanding its true structure and meaning. It is one of the most common and important activities in information management. This 5-hour course teaches all practical skills necessary to succeed in a data profiling initiative.

Instructor: Arkady Maydanchik

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To take advantage of the worldwide marketplace, businesses need to manage data globally. This reality poses very specialized and unique kinds of problems in data management. In this 4.5-hour course you will learn to identify and avoid the pitfalls of global information.

Instructors: Kathy Hunter, William McKnight, Henrik Sørensen

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In this 3.5-hour course you will learn the secrets of successful conceptual data modeling through an effective mix of presentation and exercises. You will gain valuable insights into the job and responsibilities of the data modeler as well as the responsibilities of other data modeling contributors.

Instructor: David Haertzen

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This 4-hour course includes a mix of data modeling concepts, best practices, applications and practical examples that will help you build effective data warehouse and business intelligence applications.

Instructor: Rick Sherman

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This 4.5-hour course covers the concepts, notation, and steps needed to create and extend logical data models. The course goes beyond fundamentals, and describes numerous data modeling situations and patterns. Many exercises are included to enhance learning.

Instructor: David Haertzen

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This 4.5-hour online training course gives businesses the perspective they need to migrate from viewing their enterprise information as a collection of data to viewing it as an ongoing graph of meaningful knowledge.

Instructor: Dean Allemang

This 4-hour online course will provide an overview of property graph database technology and teach the student how to translate business requirements to a property graph database design that can be implemented on any modern property graph database.

Instructor: John Singer

Data quality scorecards have become very popular and many organizations are starting to build them. What they have found is that the path to a meaningful and useful DQ Scorecard is riddled with traps and obstacles.This 5-hour online course gives comprehensive treatment to the processes and practical challenges of data quality scorecarding.

Instructor: Olga Maydanchik

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The objective of this 4-hour course is to provide an overview of the fields of data modeling and metadata management with the goal of building strong fundamental knowledge for Data Stewards. It covers the the essential tools to collect, record, and organize metadata.

Instructors: David Wells, Mike Brackett & Arkady Maydanchik

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A frequently overlooked aspect of data modeling is quality of existing data models. We often build data models quickly and with the singular goal of database design. This 3-hour course presents Data Model Scorecard®, which provides the tools needed to measure and manage data model quality.

Instructor: Steve Hoberman

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