In this course, *Introduction to Big Data Analytics on GCP*, you’ll learn to use GCP technologies to analyze data of any size at any scale. First, you’ll explore the big data landscape on GCP and how to design and implement a data lake. Next, you’ll discover how to stream and process data for analytics on GCP. Finally, you’ll learn how to build a modern data warehouse to visualize, analyze, and gain insights from data. When you’re finished with this course, you’ll have the skills and knowledge of Google Cloud technologies needed to run big data analytics on GCP.
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About the author
Victor Dantas
IT professional with a PhD in Software-Defined Networking and certified Cloud Architect on Microsoft Azure and Google Cloud Platform (GCP). With a background ranging from software development and systems engineering to professional services for Cloud migration, I have accumulated experience in Hybrid cloud infrastructure, cloud architecture and design, Infrastructure-as-Code (IaC) as well as Agile/DevOps practices. My current interests involve AI / Machine Learning and Internet-of-Things. (IoT).
