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Nicholas DeGiacomo, Shrinath Parikh, Rostislav Rabotnik, Vijaya Nelavelli, Shankar Korrapolu, and Ben Larson

Take Udacity's Introduction to Data Governance course and learn how to build a metadata management system, enterprise data model, and enterprise data catalog.

Prerequisite details

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Take Udacity's Introduction to Data Governance course and learn how to build a metadata management system, enterprise data model, and enterprise data catalog.

Prerequisite details

To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:

  • ETL
  • Relational database basics
  • Basic SQL

You will also need to be able to communicate fluently and professionally in written and spoken English.

What's inside

Syllabus

This lesson will give you an introduction to data governance and a high level overview of the course. You will be introduced to the importance of data governance, stakeholders and some tools you will be using in the course.
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In this lesson, you will learn principles of metadata management such as concepts of metadata, metadata management system and enterprise data models. We will learn how to build an enterprise data model and a metadata management system as well as the different people and processes involved in the effective setup and maintenance of a Metadata Management System.
This lesson covers all aspects and best practices for Data Quality Management. You will learn techniques for profiling data and identifying data quality issues, how to perform data cleansing and how to prevent data errors from occuring in the first place in the source systems. You will also learn how to set up targets, measure data quality and create data quality dashboards and trend reports.
In this lesson we will learn about what is master data, master data management lifecycle and different types of master data management architectures. You will also learn how to define and create a golden record and how to manage reference data. We will also cover the role of data stewards which is key to the set up and maintenance of a master data management solution.
In this project, you will help SneakerPark, an online shoe reseller, implementing data governance solutions using the knowledge you have learned from this course.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores data governance, metadata management, data quality management, and master data management
Taught by experts in data governance and data management
Involves hands-on projects to implement data governance solutions

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Data Governance with these activities:
Review basic relational database structures
Refresh your knowledge of relational databases to strengthen your comprehension of data governance.
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Practice writing basic SQL queries
Reinforce your SQL skills through practice exercises to improve your data querying abilities.
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  • Set up a database and tables
  • Write queries to retrieve, filter, and manipulate data
  • Test and refine your queries
Create a mind map of data governance components
Visualize and synthesize your understanding of data governance by creating a mind map.
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  • Identify key concepts and their relationships
  • Organize them in a logical structure
  • Add details and examples to enhance your understanding
Five other activities
Expand to see all activities and additional details
Show all eight activities
Explore online resources on metadata management
Broaden your knowledge of metadata management by delving into relevant online resources.
Browse courses on Metadata Management
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  • Identify reputable sources (e.g., articles, videos, tutorials)
  • Review the materials to grasp concepts and best practices
Design and implement a data quality management plan for a hypothetical dataset
Apply your understanding of data quality management to a practical project, solidifying your skills.
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  • Define data quality objectives
  • Analyze data to identify and prioritize data quality issues
  • Design and implement data cleansing and validation processes
  • Monitor and maintain data quality over time
  • Communicate data quality findings and recommendations
Develop a presentation on master data management best practices
Consolidate your knowledge of master data management and showcase your understanding through a presentation.
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  • Research and gather information on best practices
  • Organize and structure your presentation
  • Create visual aids and examples to enhance your delivery
  • Practice and refine your presentation skills
Attend industry events or webinars related to data governance
Expand your industry knowledge and connect with peers by attending relevant events.
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Show steps
  • Research and identify suitable events or webinars
  • Register and attend the event
  • Network with attendees and speakers
Participate in a hands-on workshop on data governance tools and technologies
Enhance your practical skills by enrolling in a workshop focused on data governance tools and technologies.
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  • Identify and register for a suitable workshop
  • Attend the workshop and actively participate in exercises
  • Apply your learnings to real-world scenarios

Career center

Learners who complete Data Governance will develop knowledge and skills that may be useful to these careers:
Data Governance Analyst
Data Governance Analysts implement data governance strategies and policies within an organization. By taking this course, you will build a solid foundation in the principles and practices of data governance. You will learn how to develop and implement data management policies, procedures, and standards. This course will also help you develop the skills necessary to manage data quality, data security, and data privacy.
Data Architect
Data Architects design and develop data management solutions for organizations. This course will help you develop the skills necessary to design and implement data governance solutions. You will learn how to develop data models, data schemas, and data integration strategies. You will also learn how to manage data quality and data security.
Data Engineer
Data Engineers design, build, and maintain data management systems. This course will help you develop the skills necessary to design and implement data governance solutions. You will learn how to develop data pipelines, data warehouses, and data lakes. You will also learn how to manage data quality and data security.
Data Scientist
Data Scientists use data to solve business problems. This course will help you develop the skills necessary to use data to make informed decisions. You will learn how to analyze data, build data models, and develop data visualization dashboards. You will also learn how to manage data quality and data security.
Database Administrator
Database Administrators manage and maintain database systems. This course will help you develop the skills necessary to manage and maintain data governance solutions. You will learn how to install, configure, and maintain database systems. You will also learn how to manage data quality and data security.
Data Analyst
Data Analysts use data to identify trends and patterns. This course will help you develop the skills necessary to use data to make informed decisions. You will learn how to analyze data, build data models, and develop data visualization dashboards.
Business Analyst
Business Analysts use data to improve business processes. This course will help you develop the skills necessary to use data to make informed decisions. You will learn how to analyze data, build data models, and develop data visualization dashboards.
Project Manager
Project Managers plan and execute projects. This course will help you develop the skills necessary to manage data governance projects. You will learn how to develop project plans, manage project budgets, and track project progress.
Data Quality Analyst
Data Quality Analysts ensure that data is accurate and reliable. This course will help you develop the skills necessary to manage data quality. You will learn how to identify data quality issues, develop data quality metrics, and implement data quality improvement plans.
Data Security Analyst
Data Security Analysts protect data from unauthorized access. This course will help you develop the skills necessary to manage data security. You will learn how to identify data security risks, develop data security policies, and implement data security controls.
Information Security Analyst
Information Security Analysts protect information systems from unauthorized access. This course may help you develop the skills necessary to manage data security. You will learn how to identify information security risks, develop information security policies, and implement information security controls.
IT Auditor
IT Auditors evaluate the effectiveness of IT systems. This course may help you develop the skills necessary to audit data governance systems. You will learn how to assess the effectiveness of data governance policies, procedures, and controls.
Compliance Officer
Compliance Officers ensure that organizations comply with laws and regulations. This course may help you develop the skills necessary to comply with data governance regulations. You will learn how to identify data governance regulations, develop data governance compliance plans, and implement data governance compliance controls.
Risk Manager
Risk Managers identify and manage risks. This course may help you develop the skills necessary to manage data governance risks. You will learn how to identify data governance risks, develop data governance risk management plans, and implement data governance risk management controls.
Data Privacy Officer
Data Privacy Officers protect personal data from unauthorized access. This course may help you develop the skills necessary to protect personal data. You will learn how to identify data privacy risks, develop data privacy policies, and implement data privacy controls.

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Data Governance.
Provides a comprehensive overview of master data management, including its principles, practices, and benefits. It valuable resource for anyone who wants to learn more about master data management and how to implement it in their organization.
Provides a comprehensive overview of data quality, including its principles, practices, and benefits. It valuable resource for anyone who wants to learn more about data quality and how to improve it in their organization.
Provides a simple and easy-to-understand overview of data governance. It valuable resource for anyone who wants to learn more about data governance without getting bogged down in technical details.
Provides a simple and easy-to-understand overview of master data management. It valuable resource for anyone who wants to learn more about master data management without getting bogged down in technical details.
Provides a simple and easy-to-understand overview of data quality. It valuable resource for anyone who wants to learn more about data quality without getting bogged down in technical details.
Provides a simple and easy-to-understand overview of metadata management. It valuable resource for anyone who wants to learn more about metadata management without getting bogged down in technical details.

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