Building Resilient Streaming Analytics Systems on Google Cloud
|
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations.
Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Bigtable for analysis. Learners get hands-on experience building streaming data pipeline components on Google Cloud by using QwikLabs.
Author Name: Google Cloud
Author Description:
Google Cloud can help solve your toughest problems and grow your business. With Google Cloud, their infrastructure is your infrastructure. Their tools are your tools. And their innovations are your innovations.
User Reviews
Be the first to review “Building Resilient Streaming Analytics Systems on Google Cloud”
Related Products
Deploying Web Applications with Heroku
Learn how to deploy web applications on Heroku, utilizing its platform as a service (PaaS) capabilities.
Cloud for Modern Business
Explore how cloud computing is transforming modern business practices and enabling innovation.
Google Cloud: AI Fundamentals
Understand the fundamentals of AI concepts and tools available on Google Cloud for building intelligent applications.
Networking
Explore the basics of networking in cloud computing, including design, implementation, and troubleshooting.
Full Stack Apps on AWS
Learn to build full-stack applications using AWS services, including front-end and back-end development.
Design for Availability, Reliability, and Resiliency
Learn design principles to ensure cloud applications are highly available, reliable, and resilient to failures.
There are no reviews yet.