Best Google Cloud Data Engineer Training in Bangalore
                     Dataflow and Pub/Sub in 
GCP – Overview
 Modern data engineering needs real-time scalable 
processing
 Pub/Sub enables real-time messaging and 
ingestion
 Dataflow processes data reliably at scale
 Together they power streaming data pipelines
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What Is Google Cloud 
Pub/Sub?
 Fully managed real-time messaging service
 Supports publish and subscribe architecture
 Decouples producers and consumers
 Handles high-throughput data streams
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Pub/Sub Core Components
 Topics receive messages from publishers
 Publishers send events asynchronously
 Subscriptions deliver messages to consumers
 Acknowledgments ensure reliable delivery
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What Is Google Cloud 
Dataflow?
 Managed service for batch and stream processing
 Built on Apache Beam programming model
 Automatically scales with data volume
 No infrastructure management required
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Key Features of Dataflow
 Single model for batch and streaming data
 Supports windowing and late data handling
 Built-in fault tolerance and retries
 Optimized for performance and cost
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How Pub/Sub and 
Dataflow Work Together
 Pub/Sub ingests real-time events
 Dataflow reads streaming data
 Applies transformation logic
 Stores output in BigQuery or Cloud Storage
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Common Use Cases
 Real-time analytics pipelines
 Log and event processing
 Streaming ETL to BigQuery
 Monitoring and alerting systems
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Why Enterprises Choose 
This Combo
 Enables real-time decision-making
 Fully managed and scalable
 Low operational overhead
 Reliable for enterprise workloads
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Contact
GCP Data Engineering
Address:- Flat no: 205, 2nd Floor, Nilgiri Block, 
Aditya Enclave, Ameerpet, Hyderabad-1 
 Ph. No: +91-7032290546 
 Visit: www.visualpath.in 
 E-Mail: [email protected]
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THANK YOU
                                                Visit: www.visualpath.in
+91-
7032290546