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Data Quality and Governance
Course Description
Overview
Data is the life blood of many organizations. Information Technology (IT) managers and individual contributors are the guardians of this data. As a result, IT must understandhow data is collected, stored, distributed, used, and in regard to this class, managed. To that end, this class discusses the data quality requirements for different data types, business, IT and vendor practices that help create bad data, processes to help identify bad data, and the management practices and data governance needed to help facilitate the distribution of quality information.
Objectives
Audience
- IT Managers
- New IT Managers
- Soon to be IT Managers
Topics
- How different types of data require different levels of quality
- Data problems caused by vendors
- Data problems caused by IT and system architectures
- Ways to monitor and identify bad data
- Data heath check philosophy and practices
- Internal and external data friendly topologies
- Modifying existing data flows and topologies
- Data governance and Data Governance Group (DGG) definitions
- Responsibilities, location, level, and structure
- Challenges of justifying a DGG
- Various mini-case scenarios that help illustrate cloud computing pains and payoffs
- Quiz-type questions to help you assess your understanding of the material
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Self-Paced Training Info
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- Same in-demand topics as instructor-led public and private classes.
- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
- Learn more about e-Learning
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