Where would you use Pub/Sub in a data pipeline?
Quality Thoughts – Best GCP Cloud Engineering Training Institute in Hyderabad
If you're aspiring to become a certified the Best GCP Cloud Engineer, training in Hyderabad look no further than Quality Thoughts, Hyderabad’s premier institute for Google Cloud Platform (GCP) training. Our course is expertly designed to help graduates, postgraduates, and even working professionals from non-technical backgrounds, education gaps, or those looking to switch job domains build a strong foundation in cloud computing using GCP.
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GCP Fundamentals + Advanced Concepts
Real-time Projects with Cloud Data Pipelines
Live Intensive Internship by Industry Experts
Placement-focused Curriculum
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Hands-on Labs using GCP Console and SDK
Where would you use Pub/Sub in a data pipeline?
Cloud Pub/Sub is used in a data pipeline primarily for real-time, event-driven data ingestion and messaging. It acts as a decoupling layer between data producers (e.g., applications, services, IoT devices) and consumers (e.g., Dataflow, BigQuery, Cloud Functions). You would use Pub/Sub when you need to collect streaming data, such as logs, user events, or sensor data, and deliver it to downstream processing systems with low latency.
In a typical pipeline, data is first published to a Pub/Sub topic. Services like Cloud Dataflow or Cloud Functions then subscribe to that topic and process the messages. This makes Pub/Sub ideal for use cases such as real-time analytics, ETL pipelines, anomaly detection, or alerting systems
Its scalability, durability, and support for asynchronous, parallel message processing make it a critical component for reliable, distributed data pipelines in GCP.
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