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

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

This 3-hour course provides foundation knowledge about the most commonly used data modeling techniques: entity-relationship modeling and dimensional modeling. A similar foundation is built for metadata management with attention to common metadata purposes and metadata discovery methods.

Instructors: David Wells and Arkady Maydanchik

(21)

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

(5)

This 6-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

(75)

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

(81)

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

(17)

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

(3)

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

(18)

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

(10)

Business data integration is a complex problem that must be solved when organizations change or enhance their internal structures. This 3-hour online course presents a simple yet thorough process that describes the challenges of building an Operational Data Store (ODS) and the solutions to these challenges.

Instructor: Angelo Bobak

(1)

Data virtualization is a core component of next-generation data integration architectures, techniques, and technology. This 3-hour online training course will introduce you to the concepts, techniques, and capabilities of data virtualization.

Instructor: Dave Wells

(7)

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

(7)

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

(2)