Data Warehousing for Data Engineers
Data warehouses are essential for data engineers and organizations that work with large volumes of data. In this course, you’ll learn the main concepts of data warehouses and how to implement solutions in three leading data warehousing platforms.
What you'll learn
Data warehouses play a pivotal role in effective data management and analytics. Understanding how they work is essential for data engineers and organizations that work with large volumes of data.
In this course, Data Warehousing for Data Engineers, you’ll learn the main concepts of data warehouses and see practical examples of data warehousing solutions.
First, you’ll discover the basics of data warehousing, including their purpose in decision support systems and business intelligence.
Next, you’ll analyze the main components of data warehousing design and architecture and the role of big data and cloud-based data warehouses.
Finally, you'll explore the leading data warehouse platforms and compare a real-world example of a data warehouse set up in Amazon Redshift, Google BigQuery, and Microsoft Azure Synapse Analytics.
When you’re finished with this course, you’ll have the skills and knowledge to understand data warehouses and to implement solutions in the three current leading platforms from Amazon, Google, and Microsoft..
Table of contents
About the author
Lucian is passionate about learning new concepts and sharing knowledge. He has over 15 years of software development experience and over 5 years of experience in academic teaching. His focus is on database development, PL/SQL programming and performance tuning. He enjoys teaching and mentoring others so they can upgrade their skills and be successful.