Data Science on Google Cloud Platform: Building Data Pipelines
With Kumaran Ponnambalam
Liked by 296 users
Duration: 1h 7m
Skill level: Intermediate
Released: 8/22/2018
Course details
Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course—one of a series by veteran cloud engineering specialist and data scientists Kumaran Ponnambalam—shows how to use the latest technologies in GCP to build a big data pipeline that ingests, transports, and transforms data entirely in the cloud. Learn how to set up data processing jobs using Apache Beam and Cloud Dataflow. Discover how to leverage Cloud Pub/Sub for stream ingestion and real-time messaging. Finally, find out how to process the stream events in Cloud Dataflow. The course uses an end-to-end use case that shows how to apply the knowledge and best practices from the course in a practical data science workflow.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Khaled_M_Ali Aklan Albanna
Khaled_M_Ali Aklan Albanna
I.T. Consultant at YBRD | Intelligent systems developer and analyst
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Dr. Veera B Dasari, PhD., PMP.
Dr. Veera B Dasari, PhD., PMP.
Chief Architect @ Lotus Cloud | GCP SME | Champion | Architect | ML
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 6 quizzes
- Learn on the go Access on tablet and phone
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