This course was ranked in the Top 100 Best Courses on Coursera, based on its high ratings and large number of ratings.
This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and an in-depth look at its data processing and machine learning capabilities. This course demonstrates the ease, flexibility, and power of big data solutions on Google Cloud.
This course introduces participants to the big data capabilities of Google Cloud.
Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and an in-depth look at its data processing and machine learning capabilities.
This course demonstrates the ease, flexibility, and power of big data solutions on Google Cloud.
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Welcome to the Basics of Big Data and Machine Learning in Google Cloud course. Here you will learn the basics of how the course is structured and the top four big data challenges you will solve.
In this module, you'll learn the fundamentals of BigQuery and big data analytics at scale. Then you'll learn how to build your own custom machine learning model to predict visitor purchases using just SQL with BigQuery ML.
In this module, you will design and build an auto-scaling streaming data pipeline to ingest, process, and visualize data in a dashboard. Before you build your pipeline, you'll learn the basics of message-oriented architecture and the pitfalls to avoid when designing and implementing modern data pipelines.
Don't want to build a custom machine learning model from scratch? Learn how to leverage and extend pre-built ML models like the Vision API and Cloud AutoML for image classification.
In this final module, we will review the key challenges, solutions, and topics covered as part of this foundation course. We'll also review additional resources and steps you can take to become certified as a Google Cloud Data Engineer.
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We help millions of organizations empower their employees, serve their customers, and create what's next for their businesses with innovative technology built in and for the cloud. Our products are designed for security, reliability, and scalability, running the full stack from infrastructure to applications, devices, and hardware. Our teams are dedicated to helping customers apply our technologies for success.
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