Big Picture: Enterprise Data Management from Pluralsight

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.

What's inside

Syllabus

Course Overview

Course Introduction

Preparing an Enterprise Data Strategy

Managing and Working with Data

Traffic lights

Read about what's good

what should give you pause

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

Reviews summary

Enterprise data management: strategic overview

According to learners, this course provides a largely positive and comprehensive overview of enterprise data management. Many find it highly effective for grasping the big picture of various disciplines, from governance to data science. While it excels in offering a foundational understanding, some reviews indicate it's a high-level introduction rather than an in-depth technical deep dive, which might be a limitation for experienced professionals seeking practical implementation details. The instructor's clear explanations are frequently highlighted as a positive aspect, making complex topics accessible.

Instructor effectively clarifies complex concepts.

"The instructor explains complex topics very clearly, making them easy to grasp even for someone new to the field."

"I appreciated how the instructor broke down the jargon into understandable terms and provided a logical flow to the content."

"Lectures were well-paced, and the explanations were consistently lucid, which is crucial for a 'big picture' course."

Ideal for conceptual understanding and strategic roles.

"As a project manager, this course helped me understand the various roles and functions in data initiatives. Highly recommend for non-data professionals."

"It's excellent for managers and business leaders who need to grasp the conceptual framework of data management without getting into code."

"I found it perfect for grasping the overall landscape and building a data-driven culture, which was my main goal."

Provides a broad understanding of data management.

"This course is perfect for getting a high-level view of data management disciplines. It really clarified many concepts for me."

"I appreciate how broad the coverage is, truly giving you the 'big picture' of enterprise data management from strategy to analytics."

"It gave me a firm understanding of what the various data disciplines do and why they are important for an organization."

Superficial for advanced learners; limited practical details.

"While a good introduction, don't expect to become an expert in any single area. It definitely skims the surface of some topics."

"As an experienced data engineer, I found very little new information; it's more suited for absolute beginners in management."

"I wished for more practical guidance on implementing data governance or real-world case studies instead of just definitions."

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

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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.

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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

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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

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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

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Solidify your understanding of relational database fundamentals to enhance your comprehension of enterprise data management principles.

Browse courses on Relational Databases

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Access online resources on relational database concepts.
Follow video tutorials on SQL and database design.
Practice creating and querying sample databases.

Six other activities

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Explore online resources on enterprise data management

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Exploring online resources will supplement your learning by exposing you to diverse perspectives, case studies, and best practices in enterprise data management.

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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

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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.

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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

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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.

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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

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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.

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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

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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.

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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

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Mentoring or tutoring others will reinforce your understanding of data management concepts and allow you to develop your communication and leadership skills.

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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 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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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