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Joseph Cline
Data has become ‘the’ corporate asset of the twenty-first century. In this course, you will learn how organizations manage data through the many disciplines of enterprise data management, such as governance, modeling, engineering, and analytics.
Over the last decade, technology has given us the ability to generate, obtain, and analyze data in more ways than ever before. It has become essential for you to develop the understanding of managing data on an enterprise level.
Read more
Data has become ‘the’ corporate asset of the twenty-first century. In this course, you will learn how organizations manage data through the many disciplines of enterprise data management, such as governance, modeling, engineering, and analytics.
Over the last decade, technology has given us the ability to generate, obtain, and analyze data in more ways than ever before. It has become essential for you to develop the understanding of managing data on an enterprise level.
Read more
Data has become ‘the’ corporate asset of the twenty-first century. In this course, you will learn how organizations manage data through the many disciplines of enterprise data management, such as governance, modeling, engineering, and analytics.
Over the last decade, technology has given us the ability to generate, obtain, and analyze data in more ways than ever before. It has become essential for you to develop the understanding of managing data on an enterprise level.
In this course, Big Picture: Enterprise Data Management, you will learn about the various disciplines of data management. First, you will discover what data governance is and how you might want to implement a governance program for your organization. Next, you will cover data modeling and data architecture, including the topics of MDM and Blockchain technology. Then, you will explore the disciplines of database administration and data development. Finally, you will learn about business intelligence and reporting, big data and data engineering, and data science, including data analytics, machine learning, and data visualization.
By the end of the course, you will have a firm understanding of enterprise data management and why you need an enterprise data strategy, what the various disciplines do, and how to build a data-driven culture in your organization.
Register for this course and see more details by visiting:
OpenCourser.com/course/t780ni/big
What's inside
Syllabus
Course Overview
Course Introduction
Preparing an Enterprise Data Strategy
Managing and Working with Data
Read more
Syllabus
Course Overview
Course Introduction
Preparing an Enterprise Data Strategy
Managing and Working with Data
Read more
Getting Value from Data
Course Summary
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops knowledge and skills that are foundational for data management
Explores big data, data engineering, and data science, which are highly relevant in industry
Taught by Joseph Cline, who is recognized for his work in enterprise data management
Covers topics in data governance, data modeling, database administration, and business intelligence
Examines the disciplines of enterprise data management, which is highly relevant for data professionals
Teaches skills that help learners manage data on an enterprise level
Save this course
Save Big Picture: Enterprise Data Management 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 Big Picture: Enterprise Data Management with these
activities:
Organize and consolidate your learning materials
Show steps
Organizing and consolidating your learning materials will help you stay on top of the course content, easily locate important information, and prepare effectively for assessments.
Show steps
-
Gather all your course materials, including lecture notes, readings, assignments, and quizzes.
-
Create a filing system or organizational structure to categorize your materials.
-
Use digital tools or apps to store and manage your materials.
-
Review your materials regularly to reinforce your understanding.
Review data management concepts
Show steps
Refreshing your knowledge of data management concepts will provide a solid foundation for the course and help you understand the subsequent topics more easily.
Browse courses on
Data Management
Show steps
-
Review your notes or textbooks from previous courses on data management or related topics.
-
Take practice quizzes or mock exams to test your understanding of the concepts.
-
Engage in discussions or forums to clarify any doubts or reinforce your understanding.
Review relational database concepts
Show steps
Solidify your understanding of relational database fundamentals to enhance your comprehension of enterprise data management principles.
Browse courses on
Relational Databases
Show steps
-
Access online resources on relational database concepts.
-
Follow video tutorials on SQL and database design.
-
Practice creating and querying sample databases.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Explore online resources on enterprise data management
Show steps
Exploring online resources will supplement your learning by exposing you to diverse perspectives, case studies, and best practices in enterprise data management.
Show steps
-
Search for reputable websites, blogs, or forums dedicated to enterprise data management.
-
Follow industry experts and thought leaders on social media.
-
Attend webinars or virtual conferences on the topic.
Create a data management plan
Show steps
Developing a data management plan will allow you to apply the principles you learn in the course to a practical scenario, enhancing your understanding and problem-solving skills.
Show steps
-
Define the scope and purpose of your data management plan.
-
Identify the types of data you will be managing.
-
Establish data collection, storage, and security protocols.
-
Determine how data will be accessed, shared, and disposed of.
Engage in peer discussions on data management challenges
Show steps
Engaging in peer discussions will provide you with opportunities to share your insights, learn from others, and develop a deeper understanding of the complexities and real-world applications of data management.
Show steps
-
Join online discussion forums or study groups.
-
Organize virtual or in-person study sessions with classmates.
-
Collaborate on data management projects or case studies.
Develop a presentation or report on a specific aspect of data management
Show steps
Creating a presentation or report will allow you to synthesize your knowledge, develop your communication skills, and demonstrate your understanding of a specific topic in enterprise data management.
Show steps
-
Choose a specific aspect of data management that you find interesting or challenging.
-
Research and gather information from various sources.
-
Develop an outline and organize your content.
-
Create visual aids or supporting materials to enhance your presentation.
-
Practice delivering your presentation or writing your report.
Participate in data management hackathons or competitions
Show steps
Participating in hackathons or competitions will provide you with a practical and challenging way to apply your data management skills, solve real-world problems, and gain recognition for your abilities.
Show steps
-
Identify data management hackathons or competitions that align with your interests.
-
Team up with other students or professionals.
-
Develop innovative solutions to the proposed challenges.
-
Present your findings and compete for prizes or recognition.
Mentor or tutor junior students in data management
Show steps
Mentoring or tutoring others will reinforce your understanding of data management concepts and allow you to develop your communication and leadership skills.
Show steps
-
Volunteer as a mentor or tutor through university programs or online platforms.
-
Prepare lesson plans and materials.
-
Provide guidance and support to students on data management topics.
-
Monitor students' progress and provide feedback.
Organize and consolidate your learning materials
Show steps
Organizing and consolidating your learning materials will help you stay on top of the course content, easily locate important information, and prepare effectively for assessments.
Show steps
Show steps
Show steps
- Gather all your course materials, including lecture notes, readings, assignments, and quizzes.
- Create a filing system or organizational structure to categorize your materials.
- Use digital tools or apps to store and manage your materials.
- Review your materials regularly to reinforce your understanding.
Review data management concepts
Show steps
Refreshing your knowledge of data management concepts will provide a solid foundation for the course and help you understand the subsequent topics more easily.
Browse courses on
Data Management
Show steps
Show steps
Show steps
- Review your notes or textbooks from previous courses on data management or related topics.
- Take practice quizzes or mock exams to test your understanding of the concepts.
- Engage in discussions or forums to clarify any doubts or reinforce your understanding.
Review relational database concepts
Show steps
Solidify your understanding of relational database fundamentals to enhance your comprehension of enterprise data management principles.
Browse courses on
Relational Databases
Show steps
Show steps
Show steps
- Access online resources on relational database concepts.
- Follow video tutorials on SQL and database design.
- Practice creating and querying sample databases.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Explore online resources on enterprise data management
Show steps
Exploring online resources will supplement your learning by exposing you to diverse perspectives, case studies, and best practices in enterprise data management.
Show steps
Show steps
Show steps
- Search for reputable websites, blogs, or forums dedicated to enterprise data management.
- Follow industry experts and thought leaders on social media.
- Attend webinars or virtual conferences on the topic.
Create a data management plan
Show steps
Developing a data management plan will allow you to apply the principles you learn in the course to a practical scenario, enhancing your understanding and problem-solving skills.
Show steps
Show steps
Show steps
- Define the scope and purpose of your data management plan.
- Identify the types of data you will be managing.
- Establish data collection, storage, and security protocols.
- Determine how data will be accessed, shared, and disposed of.
Engage in peer discussions on data management challenges
Show steps
Engaging in peer discussions will provide you with opportunities to share your insights, learn from others, and develop a deeper understanding of the complexities and real-world applications of data management.
Show steps
Show steps
Show steps
- Join online discussion forums or study groups.
- Organize virtual or in-person study sessions with classmates.
- Collaborate on data management projects or case studies.
Develop a presentation or report on a specific aspect of data management
Show steps
Creating a presentation or report will allow you to synthesize your knowledge, develop your communication skills, and demonstrate your understanding of a specific topic in enterprise data management.
Show steps
Show steps
Show steps
- Choose a specific aspect of data management that you find interesting or challenging.
- Research and gather information from various sources.
- Develop an outline and organize your content.
- Create visual aids or supporting materials to enhance your presentation.
- Practice delivering your presentation or writing your report.
Participate in data management hackathons or competitions
Show steps
Participating in hackathons or competitions will provide you with a practical and challenging way to apply your data management skills, solve real-world problems, and gain recognition for your abilities.
Show steps
Show steps
Show steps
- Identify data management hackathons or competitions that align with your interests.
- Team up with other students or professionals.
- Develop innovative solutions to the proposed challenges.
- Present your findings and compete for prizes or recognition.
Mentor or tutor junior students in data management
Show steps
Mentoring or tutoring others will reinforce your understanding of data management concepts and allow you to develop your communication and leadership skills.
Show steps
Show steps
Show steps
- Volunteer as a mentor or tutor through university programs or online platforms.
- Prepare lesson plans and materials.
- Provide guidance and support to students on data management topics.
- Monitor students' progress and provide feedback.
Career center
Learners who complete Big Picture: Enterprise Data Management will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
Data Scientists use data to solve business problems and make predictions. They work with data engineers and other stakeholders to develop and implement data pipelines and data management solutions. This course may be useful for aspiring Data Scientists as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data science.
Data Architect
Data Architect
A Data Architect designs, builds, and maintains the architecture of an organization's data systems. They work with stakeholders to define data requirements, develop data models, and implement data management solutions. This course may be useful for aspiring Data Architects as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data architecture.
Data Analyst
Data Analyst
Data Analysts use data to identify trends, patterns, and insights. They work with stakeholders to develop and implement data management solutions. This course may be useful for aspiring Data Analysts as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data analysis.
Database Administrator
Database Administrator
Database Administrators manage the day-to-day operations of an organization's databases. They work with stakeholders to define data requirements, develop data models, and implement data management solutions. This course may be useful for aspiring Database Administrators as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of database administration.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain the infrastructure and tools that are used to store, process, and analyze data. They work with data scientists and other stakeholders to develop and implement data pipelines and data management solutions. This course may be useful for aspiring Data Engineers as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data engineering.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists design and develop data visualizations that communicate data insights to stakeholders. They work with data analysts and other stakeholders to develop data visualization solutions that meet the needs of the organization. This course may be useful for aspiring Data Visualization Specialists as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data visualization.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends, patterns, and insights. They work with stakeholders to develop and implement business intelligence solutions that meet the needs of the organization. This course may be useful for aspiring Business Intelligence Analysts as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of business intelligence.
Data Security Analyst
Data Security Analyst
Data Security Analysts protect an organization's data from unauthorized access, use, disclosure, disruption, modification, or destruction. They work with stakeholders to define data security policies and procedures, and implement data security solutions. This course may be useful for aspiring Data Security Analysts as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data security.
Data Warehouse Manager
Data Warehouse Manager
Data Warehouse Managers oversee the development and implementation of an organization's data warehouse. They work with stakeholders to define data warehouse requirements and develop data warehouse solutions that meet the needs of the organization. This course may be useful for aspiring Data Warehouse Managers as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data warehouse management.
Data Quality Manager
Data Quality Manager
Data Quality Managers oversee the development and implementation of an organization's data quality program. They work with stakeholders to define data quality standards and procedures, and ensure that data is accurate, consistent, and complete. This course may be useful for aspiring Data Quality Managers as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data quality management.
Data Integration Specialist
Data Integration Specialist
Data Integration Specialists design and implement data integration solutions. They work with stakeholders to define data requirements and develop data integration solutions that meet the needs of the organization. This course may be useful for aspiring Data Integration Specialists as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data integration.
Data Governance Manager
Data Governance Manager
Data Governance Managers oversee the development and implementation of an organization's data governance program. They work with stakeholders to define data policies and procedures, and ensure that data is used in a consistent and ethical manner. This course may be useful for aspiring Data Governance Managers as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data governance.
Data Ethics Specialist
Data Ethics Specialist
Data Ethics Specialists develop and implement ethical guidelines for the use of data. They work with stakeholders to define data ethics policies and procedures, and ensure that data is used in a responsible and ethical manner. This course may be useful for aspiring Data Ethics Specialists as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data ethics.
Data Modeling Specialist
Data Modeling Specialist
Data Modeling Specialists design and develop data models that represent the structure and relationships of data. They work with stakeholders to define data requirements and develop data models that meet the needs of the organization. This course may be useful for aspiring Data Modeling Specialists as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data modeling.
Data Lake Manager
Data Lake Manager
Data Lake Managers oversee the development and implementation of an organization's data lake. They work with stakeholders to define data lake requirements and develop data lake solutions that meet the needs of the organization. This course may be useful for aspiring Data Lake Managers as it provides a comprehensive overview of enterprise data management, including data governance, modeling, engineering, and analytics. It can help build a foundation for understanding the principles and best practices of data lake management.
For more career information including salaries, visit:
OpenCourser.com/course/t780ni/big
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
Big Picture: Enterprise Data Management.
A comprehensive treatment of big data and data engineering concepts and technologies, including data lakes, data warehouses, and data pipelines. Provides a strong foundation for understanding the challenges and opportunities of big data.
A comprehensive treatment of data modeling techniques and methodologies, including conceptual, logical, and physical data models. Provides a strong foundation for understanding data structures and relationships.
A practical guide to database administration, covering topics such as database design, performance tuning, and backup and recovery. Provides valuable insights for practitioners.
A practical guide to business intelligence and reporting, covering topics such as data visualization, dashboard design, and reporting tools. Provides valuable insights for practitioners.
A practical guide to data analytics, covering topics such as data mining, predictive analytics, and text analytics. Provides valuable insights for practitioners.
Save
A practical guide to data visualization, covering topics such as chart design, color theory, and storytelling with data. Provides valuable insights for practitioners.
A gentle introduction to machine learning concepts and algorithms, suitable for beginners. Provides a solid foundation for understanding the basics of machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/t780ni/big
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Time
72 hours
Level
Introductory
Via
Pluralsight
Instructor
Joseph Cline
Language
English
Good to know
Develops knowledge and skills that are foundational for data management
Explores big data, data engineering, and data science, which are highly relevant in industry
Taught by Joseph Cline, who is recognized for his work in enterprise data management
Covers topics in data governance, data modeling, database administration, and business intelligence
Examines the disciplines of enterprise data management, which is highly relevant for data professionals
Teaches skills that help learners manage data on an enterprise level
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