1. Lernen
    2. /
  2. Kurse
    3. /
  3. Data Warehousing Concepts
  • 1

    Data Warehouse Basics

    Kostenlos

    Prepare for your data warehouse learning journey by grounding yourself in some foundational concepts. To begin this course, you’ll learn what a data warehouse is and how it compares and contrasts to similar-sounding technologies, data marts and data lakes. You’ll also learn how different personas help support the various stages of a data warehouse project.

  • 2

    Warehouse Architectures and Properties

    Now, you’ll gain a better understanding of data warehouse architecture by learning the typical layers of a data warehouse and how the presentation layer supports analysts. Additionally, you’ll learn about Bill Inmon and his top-down approach and how it compares to Ralph Kimball and his bottom-up approach. Finally, you’ll understand the difference between OLAP and OLTP systems.

  • 3

    Data Warehouse Data Modeling

    Here, you’ll learn how to organize the data in your data warehouse with an excellent data model. First, you’ll cover the basics of data modeling by learning what a fact and a dimension table are and how you use them in the star and snowflake schemes. Then, you’ll review how to create a data model using Kimball's four-step process and how to deal with slowly changing dimensions.

  • 4

    Implementation and Data Prep

    You’ll wrap up the course by learning the pros and cons of ETL and ELT processes and on-premise versus an in-cloud implementation. You’ll conclude by walking through an example, making key decisions on warehouse design and implementation.

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