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Coursera

Data Management, Databases, and Big Data

via Coursera

Overview

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Every organization runs on information, but information only creates value when it's managed well. Poor data quality, disconnected systems, and ungoverned databases cost organizations time, money, and credibility every day. The professionals who understand how to manage information effectively are the ones organizations depend on to make good decisions. In this course, you'll learn how organizations govern and manage their data, how relational databases are structured and queried, and how modern approaches like Big Data and data warehouses help organizations turn large volumes of information into insight. You'll also explore how organizations capture and share knowledge — not just data — to build lasting organizational value. These skills apply across every business function. Whether you're analyzing performance, supporting operations, or advising leadership, understanding how your organization's information is structured, stored, and accessed makes you a more effective and informed professional.

Syllabus

  • Managing Data and the Database Approach
    • 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.
  • Big Data, Data Warehouses, and Knowledge Management
    • 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.
  • Course Graded Assignment
    • Summative assessment for the course

Taught by

Wiley Skills Network

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