Introduction to Data Warehousing

Starting at USD 39.00
4 hours duration

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

This comprehensive course provides an introduction to the fundamental concepts of data warehousing. Through the use of industry examples and real-world datasets, participants will develop a strong understanding of the basics of data warehousing. The global data warehousing market is projected to exceed $50 billion by 2028, making this an opportune time to gain knowledge in this field. The course begins by examining the definition and purpose of a data warehouse, as well as its distinctions from data lakes and data mart systems. Participants will explore how various data professionals, including data engineers, data scientists, and analysts, interact with a data warehouse throughout its lifecycle, from development to production and ongoing maintenance. Once the foundational knowledge is established, participants will delve into the different layers and architectures of a data warehouse, including the Inmon and Kimball approaches. Additionally, the course covers essential topics such as data modeling, including Kimball's four-step process and the comparison between column store and row store. Participants will also learn about data preparation and cleaning, as well as the differences between ETL (extract, transform, load) and ELT (extract, load, transform) processes. The course concludes with an exploration of cloud data warehouses. By completing this course, participants will acquire a comprehensive understanding of data warehousing basics, enabling them to effectively contribute to the data revolution within their organizations.

About Provider

DataCamp
DataCamp
Online Education Provider ยท 410 courses
Description
DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.
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