Serverless Data Processing with Dataflow: Develop Pipelines
2.0
Coursera68 learners
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This course provides an in-depth look at serverless data processing with Dataflow pipelines. Learn how to use Apache Beam concepts to process streaming data, sources and sinks, schemas, and stateful transformations. Get best practices to maximize pipeline performance, and learn how to use SQL and Dataframes to represent business logic. Gain the skills to develop pipelines iteratively with Beam notebooks.
Serverless Data Processing with Dataflow: Foundations
3.0
Coursera93 learners
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This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. Learn the Apache Beam vision, the benefits of the Beam Portability framework, how Dataflow allows you to separate compute and storage, and how to implement the right security model for your use case. Prerequisites include courses on Building batch data pipelines and Building Resilient Streaming Analytics Systems. Enroll now to start learning!
IBM Cloud Essentials
3.0
Coursera0 learners
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Explore the essentials of IBM Cloud Essentials
GCP - Google Cloud Platform Concepts
4.0
Udemy6 learners
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This course provides an overview of Google Cloud Platform (GCP) and its various services. Learn how to use GCP to store, compute, and analyze data, as well as how to use its BigData and Machine Learning offerings. Get access to $300 credit to try out GCP's paid services, and learn how to use Google's developer-friendly code examples from GitHub. Discover why GCP is the fastest growing public cloud platform in the world, and why Google is investing heavily in extending its services across the globe.
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