11 courses
Want to gain an understanding of data solutions - specifically what it takes to design and implement them - but not quite sure where to begin? This one-day course is the perfect starting point.
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On this one-day course, you'll learn about data engineering on Google Cloud, the roles and responsibilities of data engineers, and how those map to offerings provided by the platform.
Gain valuable information, tips, and advice to help you prepare for Google Cloud data engineer certification.
Looking to gain hands-on experience implementing key machine learning processes on Google Cloud? This four-day course will teach you everything you need to know about designing and building data processing systems.
Are you completely new to data analytics and Google Cloud? This one-day course is the perfect introduction for learners with no prior experience.
This course is intended for big data practitioners who want to further their understanding of Dataflow in order to advance their data processing applications.
Learn everything there is to know about Cloud Data Fusion - including its key components as well as how it effectively tracks, processes and integrates data from a variety of sources and formats.
Learn how to navigate both Teradata and BigQuery architectures, so that you can configure your datasets, optimize your schemas, and successfully map all of your users to BigQuery.
Master the skills required to help enterprise customers evaluate and manage existing database architectures, as well as design, plan, execute and test database migrations to Google Cloud.
Looking to learn everything you need to know about the internal workings of BigQuery? This course covers best practices for designing, optimizing, and administering your data warehouse.
Want to learn how to undertake data exploration and analysis in Looker that would formerly be done by SQL developers or analysts? Then this one-day course is the perfect place to start.
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