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Certified Data Steward Program

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Certified Data Steward Program Certified Data Steward Program Apr 2021 TABLE OF CONTENTS ABOUT CDS 2 T BODY OF KNOWLEDGE 3 CDS RULEBOOK 4 ENTERPRISE SOLUTIONS 5 COURSE DESCRIPTIONS 7 INSTRUCTORS 11 OUR CUSTOMERS 14 CONTACT US 15 PRICING 16 ABOUT THE CDS PROGRAM eat Expertise, Experience, and Excellence. 2 BODY OF KNOWLEDGE The Data Stewardship Body of Knowledge (DSBOK) is a structured comprehensive list of topics comprising the data stewardship professional domain. It was created in collaboration between the leading experts and educators in the field and members of the CDS Advisory Council under the leadership of Arkady Maydanchik, Maria C Villar, and David Wells. 1. Data Stewardship Fundamentals 6. Data Governance 1.1. Definitions 6.1. Data Governance Basics 1.2. Data Stewardship Organizations 6.2. Components of Data Governance 1.3. Data Steward Characteristics 6.3. Data Governance Programs 6.4. Executing Data Governance 2. Data Management Processes 6.5. Data and Capabilities 2.1. Architectural Processes 6.6. Data Literacy 2.2. Utilization Processes (CRUD) 6.7. Modernizing Data Governance 2.3. Custodial Processes 2.4. Data Lifecycle Processes and Enabling 7. Metadata Management Technologies 7.1. Metadata Concepts 2.5. Data Sharing 7.2. Data Modeling 2.6. Data Risk Management 7.3. Data Profiling 7.4. Data Curation and Cataloging 3. Information Management Concepts 7.5. Taxonomies and Ontologies 3.1. Types of Data and Information 3.2. Types of Data Stores 8. Master and Reference Data Management 3.3. Types of Databases 8.1. Master Data Management (MDM) Basics 3.4. Common Uses of Data 8.2. Data Parsing, Matching, and De- 3.5. Business Data Flow 3 Duplication 3.6. Information Management Disciplines 8.3. Reference Data 3.7. Data Analytics 8.4. Global Data 4. Data Quality 4.1. Quality Management Basics 4.2. Data Quality Concepts and Principles 4.3. Data Quality Dimensions 4.4. Data Quality Processes and Projects 4.5. Data Quality in IT Processes and Projects 4.6. Data Quality for Big Data 4.7. Measuring Data Quality 5. Data Integration 5.1. Data Integration Processes 5.2. Data Integration Methods 5.3. Data Freshness 5.4. Ensuring Data Quality in Data Integration 3 CDS RULEBOOK What People are Saying about eLC To earn Certified Data Steward (CDS) designation you must complete 4 courses from the CDS curriculum, including Data Stewardship Fundamentals and at least two core courses. The courses within the eLearningCurve curricula are well If you complete a CIMP in Data Quality, Data Governance, organized and are of great value to MDM, or Metadata Management tracks, you will automatically anyone who is engaged in the earn a credit for the corresponding CDS course. For example, quickly maturing Information CIMP in Data Quality will earn you a credit for Data Quality for Management areas of Data Data Stewards. Governance, Data Stewardship, and Data Quality. To successfully complete a course you must achieve a 70% or –Patrick DeKenipp better score on the corresponding online exam. You even do not have to listen to the course itself if you are confident in your knowledge. However, most students will find it advisable to take the courses to prepare for the exams. The classes are very well organized and a must for learning the proper CDS Ex goes beyond CDS to indicate that you are a true terminology and getting a solid standard bearer in the data stewardship profession. To earn foundation upon which to build with the CDS Ex designation you must demonstrate: experience. The instructors are experienced, knowledgeable, well Expertise. You must complete 7 courses including Data known in the field, and extremely engaging. Stewardship Fundamentals, all three core courses, and 3 electives (2 from the CDS curriculum, and 1 course of –Oana Garcia your choice from our entire curriculum) Experience. Have at least five years of work experience in a data-related job role. This could be any job in business or IT that involves collecting, I was very impressed with the high manipulating, using, analyzing, or managing data. Each quality of the CIMP Data Quality day in a data stewardship role counts as two days of program. I gained experience (subject to approval by CDS Board). You extensive knowledge of data quality disciplines and related areas and may count a job towards CDS Ex experience very much enjoyed my classes requirements as long as at least 50% of your duties are which were taught by eligible. If you are not sure that your experience knowledgeable and professional qualifies, please, contact [email protected]. instructors. Passing the exams Excellence. Achieve the average score on the exams required in-depth understanding of of 75% or better. If you have taken an exam more than the subject matter and was by no once, only your best score will count. However, an means a walk in the park but incremental 3% "penalty" will apply to the score for each definitely worth the effort. I was a attempt beyond the second. Thus, if your actual score is data quality rookie when I started out but now have a solid foundation 56% on the first attempt, 65% on the second attempt, to build upon as a professional in and 76% on the second attempt, 73% (76%-3%) will be the exciting field of data quality used for the purpose of calculating the average. Note, management. that there is no "penalty" for failing on the first attempt. –Helle Lindsted For more information please visit the CDS Rulebook online. 4 5 6 Data Stewardship Fundamentals Data Quality for Data Stewards Data Stewards are important leaders in a company's Since data quality is one of the core responsibilities of data information management program. As companies tackle stewards, each steward needs a foundation of concepts, data governance initiatives brought on by regulatory principles, terminology, and methodology of data quality demands and the business need for higher confidence and management. transparency of data, the role of Data Steward becomes increasingly important. Data Stewards are accountable for This online training course provides an overview of the field the data strategy, definition, requirements, and quality of the of data quality with the goal of building strong fundamental data. To be effective in their duties, Data Stewards must knowledge for data stewards. It covers topics ranging from understand how the data is created, stored, manipulated, data quality definitions and dimensions to key data quality moved about, and used. And, while data stewards usually do management practices and methodologies as well as core not personally run data governance, data quality, or data quality processes and projects. metadata management programs, they must possess knowledge in all these, and many other information management disciplines. Basic concepts, principles, and practices of quality The objective of this online training course is to build a management foundation of knowledge for the Data Stewards. It covers How quality management principles are applied to fundamentals of data stewardship: who are the data data stewards, what they do, what are their responsibilities, and Dimensions of data quality what are the key principles and practices of data Common causes of data quality problems stewardship. It also provides foundational knowledge of Introduction to data quality assessment information management. Introduction to root cause analysis Introduction to data quality monitoring Why data stewards are important Different types of data stewards Data stewards Roles and responsibilities of data stewards Business or IT professionals who want to become Best practices of data stewardship data stewards Types of data, databases, and data stores Business or IT counterparts working with data Common uses of data and business data flow stewards Types of data management processes Information management professionals who want to The "what, why, and who" for each of the 14 im learn about data quality disciplines Relationships, roles, goals, competencies, and knowledge for data stewards Data stewards Business or IT professionals who want to become data stewards Business or IT counterparts working with data stewards Information management professionals who want to learn about data stewardship 7 Data Governance for Data Stewards Metadata Management for Data Stewards Data governance is a cross-functional management program that treats data as an enterprise asset. It You can't manage information effectively without includes the collection of policies, standards, processes, understanding the data meaning, constraints and people, and technology essential to managing critical relationships. Metadata management and data modeling data to a set of goals. Understanding data governance disciplines provide the essential tools to collect, record, and fundamentals is essential to the success of data organize such knowledge. Understanding these disciplines stewards. This online training course provides an is essential to the success of data stewards. This online overview of data governance with the goal of building training course is designed to provide foundation knowledge strong fundamental knowledge for data stewards. It about the most commonly used metadata management, covers the disciplines of governing data, the essential data modeling, and data profiling techniques. components and a roadmap to execution of a successful data governance program. : : The core elements of describing data: meaning, What data should be governed constraints, and relationships Why data governance is important Common
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