John Wiley & Sons

Data Management, Databases, and Big Data

John Wiley & Sons

Data Management, Databases, and Big Data

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Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain how data governance helps organizations address data management challenges including quality, consistency, and accountability.

  • Assess the advantages and limitations of relational databases and describe how querying, modeling, and normalization support business operations.

  • Define Big Data and explain how data warehouses and data marts help organizations int

  • Describe the benefits and challenges of knowledge management systems and how they help organizations capture and apply organizational expertise.

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Recently updated!

August 2026

Assessments

3 assignments

Taught in English

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This course is part of the Information Systems Foundations for Business Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Develop job-relevant skills with hands-on projects
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There are 3 modules in this course

Organizations collect enormous amounts of information — but without structure and governance, that information becomes a liability rather than an asset. This module covers the foundational practices and technologies that help organizations manage their data effectively. You'll start with data governance: the frameworks organizations use to address common data management challenges, including quality, consistency, and accountability. You'll then examine the relational database — the most widely used approach to organizing and storing information — and weigh its advantages and limitations. The module closes with how relational databases actually work: how data is queried to answer business questions, how entity-relationship modeling shapes database design, and how normalization and joins keep data clean and connected. Understanding how your organization's databases are structured will make you a more confident and capable user of the information those systems produce.💡Tip for success: Don't get lost in the technical details — focus on understanding what each process is designed to accomplish for the business and why it matters.

What's included

4 videos4 readings1 assignment1 discussion prompt

The volume of information organizations generate has grown beyond what traditional databases alone can handle. This module examines three approaches organizations use to manage and extract value from large and complex information environments. You'll start with Big Data, including what it is, what makes it distinct, and the characteristics that define it. You'll then look at data warehouses and data marts: how they're structured, what's required to implement and maintain them, and how they support decision-making by bringing together information from across the enterprise. The module closes with knowledge management, the practices organizations use to capture, share, and apply not just structured information but the expertise that exists within their people and processes. You'll examine both the benefits and the real challenges of implementing knowledge management systems. Together, these three topics represent significant ways modern organizations turn information into organizational value. 💡Tip for success: As you work through each topic, think about a specific organization and ask yourself how it might be applying or struggling to apply each of these approaches.

What's included

3 videos3 readings1 assignment

Summative assessment for the course

What's included

1 video1 assignment

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Instructor

Wiley Skills Network
John Wiley & Sons
157 Courses14,313 learners

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