Modernizing Data Lakes and Data Warehouses with Google Cloud
About this Course
The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. This is the first course of the Data Engineering on Google Cloud series. After completing this course, enroll in the Building Batch Data Pipelines on Google Cloud course.Created by: Google Cloud
Related Online Courses
Unlock Your Potential in Environmental Project Management. Are you ready to excel in leading complex environmental projects and drive sustainable outcomes? This course is designed to equip you with... more
This Specialization provides an in-depth understanding of foundational software testing concepts, including static and dynamic testing techniques, test management, and essential tools for effective... more
This specialization is designed for post-graduate students aiming to advance their skills in AI, cybersecurity, & industrial control systems (ICS) security. Through three in-depth courses, you will... more
This course is primarily focused on preparing your organization for the successful integration of Generative AI. It emphasizes the importance of engaging and training your workforce on GenAI,... more
This specialization covers the essential skills needed for end-to-end web development, including crafting responsive user interfaces, managing SQL and NoSQL databases, and integrating APIs to build... more
Powered by
