Building Resilient Streaming Analytics Systems on Google Cloud
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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.
Table of Contents
- Introduction
1min - Introduction
1min - Introduction to Processing Streaming Data
6mins - Introduction to Processing Streaming Data
6mins - Serverless Messaging with Pub/Sub
23mins - Serverless Messaging with Pub/Sub
23mins - Dataflow Streaming Features
11mins - Dataflow Streaming Features
11mins - High-Throughput BigQuery and Bigtable Streaming Features
27mins - High-Throughput BigQuery and Bigtable Streaming Features
27mins - Advanced BigQuery Functionality and Performance
33mins - Advanced BigQuery Functionality and Performance
33mins - Course Summary
1min - Course Summary
1min - Course Resources
0mins - Course Resources
0mins
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