*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.
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 Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.
This module introduces the course and agenda
Introduction to Processing Streaming Data
This modules talks about challenges with processing streaming data
Serverless Messaging with Cloud Pub/Sub
This module talks about using Cloud Pub/Sub to ingest incoming streaming data
Cloud Dataflow Streaming Features
This module revisits Cloud Dataflow and focuses on its streaming data processing capabilities
High-Throughput BigQuery and Bigtable Streaming Features
This modules covers BigQuery and Bigtable for streaming data
Advanced BigQuery Functionality and Performance
This module dives into more advanced features of BigQuery
This module recaps the topics covered in course