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Mark Brady
Master data management and learn to leverage data assets effectively to drive your organization's success. Enroll today to transform your understanding of data management from informal to disciplined engineering.
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:
- Data modeling basics
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/gibx3p/next
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What's inside
Syllabus
Learn about the next generation of data management, including advanced techniques for modeling data effectively, model design, interoperability, and the universal architecture of data systems.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes advanced strategies for proficient data modeling
Provides a comprehensive approach to data management principles
Taught by Mark Brady, a respected professional in the field
Requires prior knowledge in data modeling basics
Focuses on data management from an engineering perspective
Examines the future of data management and its impact on organizations
Save this course
Save Next Generation Data Management: User Models and Suprasystems to your list so you can find it easily later:
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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 Next Generation Data Management: User Models and Suprasystems with these
activities:
Review data modeling basics
Show steps
This activity will help you recall and solidify your understanding of data modeling techniques and concepts, providing a stronger foundation for the concepts introduced in this course.
Browse courses on
Data Modeling
Show steps
-
Review ER modeling concepts and principles
-
Practice creating ER diagrams for sample scenarios
-
Explore different normalization techniques and their applications
Review data modeling fundamentals
Show steps
Review the basics of data modeling to enhance your understanding of the course material.
Browse courses on
Data Modeling
Show steps
-
Revisit concepts of data types, constraints, and relationships.
-
Practice creating entity-relationship diagrams.
-
Review normalization techniques.
Review data modeling fundamentals
Show steps
Reviewing data modeling concepts will provide a strong foundation for understanding data management.
Browse courses on
Data Modeling
Show steps
-
Read articles and tutorials on data modeling basics.
-
Practice creating entity-relationship diagrams.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Data Modeling Basics Review
Show steps
Reviewing basic data modeling concepts will prepare you for successfully completing this course.
Browse courses on
Data Modeling
Show steps
-
Review Data Modeling principles
-
Review different types of data models
-
Create a simple data model for a real-world scenario
SQL Practice Problems
Show steps
Practicing SQL queries will help you develop the skills you need to effectively manage data.
Browse courses on
SQL
Show steps
-
Find a set of SQL practice problems
-
Solve the practice problems
-
Review your answers
Explore advanced data modeling techniques
Show steps
This activity will provide you with a deeper understanding of advanced data modeling techniques, helping you navigate the complexities of real-world data management scenarios.
Browse courses on
Data Warehousing
Show steps
-
Follow tutorials on multidimensional modeling and data warehousing concepts
-
Explore techniques for handling complex data types and relationships
Explore advanced data modeling techniques
Show steps
Exploring advanced data modeling techniques will expand your understanding of data management.
Show steps
-
Follow online tutorials on data vault modeling.
-
Experiment with different data modeling tools.
Data Management Best Practices Tutorial
Show steps
Following a tutorial on data management best practices will solidify your understanding of the concepts covered in this course.
Browse courses on
Data Governance
Show steps
-
Choose a tutorial on data management best practices
-
Follow the tutorial steps
-
Apply the best practices to your own data management projects
Data Management Study Group
Show steps
Participating in a study group can provide you with support, encouragement, and accountability as you learn about data management.
Browse courses on
Data Management
Show steps
-
Find a study group or start your own
-
Meet with your study group regularly
-
Discuss the course material
-
Work on projects together
Data Management Plan
Show steps
Creating a data management plan will force you to think critically about the data you are working with and how you will manage it.
Show steps
-
Define the scope of your data management plan
-
Identify the data assets that will be included in the plan
-
Develop a strategy for managing the data assets
-
Document the plan
Design a data model for a specific scenario
Show steps
Apply your learning by designing a data model for a real-world scenario, solidifying your understanding.
Show steps
-
Identify the requirements and constraints for the data model.
-
Create a conceptual data model.
-
Translate the conceptual model into a physical data model.
Contribute to an Open Source Data Management Project
Show steps
Contributing to an open source data management project will allow you to gain practical experience and give back to the community.
Browse courses on
Data Management
Show steps
-
Find an open source data management project
-
Identify a way to contribute to the project
-
Make your contribution
-
Submit a pull request
Develop a data management plan
Show steps
Gain practical experience by developing a comprehensive data management plan, putting your knowledge into action.
Show steps
-
Define the scope and objectives of the data management plan.
-
Identify data sources, data types, and data quality requirements.
-
Establish data governance policies and procedures.
-
Document the data management plan in detail.
Review data modeling basics
Show steps
This activity will help you recall and solidify your understanding of data modeling techniques and concepts, providing a stronger foundation for the concepts introduced in this course.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review ER modeling concepts and principles
- Practice creating ER diagrams for sample scenarios
- Explore different normalization techniques and their applications
Review data modeling fundamentals
Show steps
Review the basics of data modeling to enhance your understanding of the course material.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Revisit concepts of data types, constraints, and relationships.
- Practice creating entity-relationship diagrams.
- Review normalization techniques.
Review data modeling fundamentals
Show steps
Reviewing data modeling concepts will provide a strong foundation for understanding data management.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Read articles and tutorials on data modeling basics.
- Practice creating entity-relationship diagrams.
Ten other activities
Expand to see all activities and additional details
Show all 13 activities
Data Modeling Basics Review
Show steps
Reviewing basic data modeling concepts will prepare you for successfully completing this course.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
- Review Data Modeling principles
- Review different types of data models
- Create a simple data model for a real-world scenario
SQL Practice Problems
Show steps
Practicing SQL queries will help you develop the skills you need to effectively manage data.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Find a set of SQL practice problems
- Solve the practice problems
- Review your answers
Explore advanced data modeling techniques
Show steps
This activity will provide you with a deeper understanding of advanced data modeling techniques, helping you navigate the complexities of real-world data management scenarios.
Browse courses on
Data Warehousing
Show steps
Show steps
Show steps
- Follow tutorials on multidimensional modeling and data warehousing concepts
- Explore techniques for handling complex data types and relationships
Explore advanced data modeling techniques
Show steps
Exploring advanced data modeling techniques will expand your understanding of data management.
Show steps
Show steps
Show steps
- Follow online tutorials on data vault modeling.
- Experiment with different data modeling tools.
Data Management Best Practices Tutorial
Show steps
Following a tutorial on data management best practices will solidify your understanding of the concepts covered in this course.
Browse courses on
Data Governance
Show steps
Show steps
Show steps
- Choose a tutorial on data management best practices
- Follow the tutorial steps
- Apply the best practices to your own data management projects
Data Management Study Group
Show steps
Participating in a study group can provide you with support, encouragement, and accountability as you learn about data management.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Find a study group or start your own
- Meet with your study group regularly
- Discuss the course material
- Work on projects together
Data Management Plan
Show steps
Creating a data management plan will force you to think critically about the data you are working with and how you will manage it.
Show steps
Show steps
Show steps
- Define the scope of your data management plan
- Identify the data assets that will be included in the plan
- Develop a strategy for managing the data assets
- Document the plan
Design a data model for a specific scenario
Show steps
Apply your learning by designing a data model for a real-world scenario, solidifying your understanding.
Show steps
Show steps
Show steps
- Identify the requirements and constraints for the data model.
- Create a conceptual data model.
- Translate the conceptual model into a physical data model.
Contribute to an Open Source Data Management Project
Show steps
Contributing to an open source data management project will allow you to gain practical experience and give back to the community.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Find an open source data management project
- Identify a way to contribute to the project
- Make your contribution
- Submit a pull request
Develop a data management plan
Show steps
Gain practical experience by developing a comprehensive data management plan, putting your knowledge into action.
Show steps
Show steps
Show steps
- Define the scope and objectives of the data management plan.
- Identify data sources, data types, and data quality requirements.
- Establish data governance policies and procedures.
- Document the data management plan in detail.
Career center
Learners who complete Next Generation Data Management: User Models and Suprasystems will develop knowledge and skills
that may be useful to these careers:
Data Architect
Data Architect
A Data Architect designs, builds, and maintains data systems that support an organization's business needs. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including advanced data modeling and interoperability. This knowledge can help Data Architects build more efficient and effective data systems.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They may also design and implement database systems. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Database Administrators build more efficient and effective database systems.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines that move data between different systems. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Engineers build more efficient and effective data pipelines.
Information Architect
Information Architect
An Information Architect designs and manages the structure and organization of information systems. They may also create metadata and taxonomies. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Information Architects design more efficient and effective information systems.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They may use data to identify trends, build models, or create visualizations. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Scientists work with data more effectively.
Data Analyst
Data Analyst
A Data Analyst analyzes data to identify trends and patterns. They may also create reports and visualizations. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Analysts work with data more effectively.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes and identifies opportunities for improvement. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Business Analysts better understand the data that drives their business.
Project Manager
Project Manager
A Project Manager plans and executes projects. They may also manage teams of people. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Project Managers better understand the data that is used in their projects.
Software Engineer
Software Engineer
A Software Engineer designs, builds, and maintains software applications. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Software Engineers build more efficient and effective software applications.
Systems Analyst
Systems Analyst
A Systems Analyst analyzes and designs computer systems. They may also implement and maintain these systems. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Systems Analysts build more efficient and effective computer systems.
Database Designer
Database Designer
A Database Designer designs and creates databases. They may also implement and maintain these databases. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Database Designers build more efficient and effective databases.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. They may also oversee the implementation of these policies and procedures. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Governance Analysts develop more effective data governance policies and procedures.
Data Quality Analyst
Data Quality Analyst
A Data Quality Analyst analyzes and improves the quality of data. They may also develop and implement data quality policies and procedures. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Quality Analysts improve the quality of data in their organization.
Data Integration Specialist
Data Integration Specialist
A Data Integration Specialist integrates data from different sources into a single system. They may also develop and implement data integration solutions. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Integration Specialists build more effective data integration solutions.
Data Warehouse Architect
Data Warehouse Architect
A Data Warehouse Architect designs and builds data warehouses. They may also implement and maintain these data warehouses. This course may be useful for someone in this role, as it provides an overview of next-generation data management techniques, including data modeling and interoperability. This knowledge can help Data Warehouse Architects build more efficient and effective data warehouses.
For more career information including salaries, visit:
OpenCourser.com/course/gibx3p/next
Reading list
We've selected seven 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
Next Generation Data Management: User Models and Suprasystems.
Focuses on the concept of dimensional data modeling and useful reference guide for professionals working in the field of data management.
Provides a comprehensive guide to the fundamental concepts and techniques of deep learning, using Python as the primary language.
Provides a comprehensive guide to data science, covering its principles, methodologies, and applications in business.
Provides a comprehensive guide to natural language processing, covering its fundamental concepts and techniques.
Covers the fundamental concepts of machine learning, providing a practical guide to building and evaluating machine learning models.
Covers the fundamental concepts and algorithms of machine learning, using R as the primary language.
Provides a comprehensive guide to statistical methods for data analysis, covering both the theoretical foundations as well as practical applications.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/gibx3p/next
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Effort
3 hours
Via
Udacity
Instructor
Mark Brady
Language
English
Good to know
Emphasizes advanced strategies for proficient data modeling
Provides a comprehensive approach to data management principles
Taught by Mark Brady, a respected professional in the field
Requires prior knowledge in data modeling basics
Focuses on data management from an engineering perspective
Examines the future of data management and its impact on organizations
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