Google Cloud Digital LeaderGeneral knowledge of Google CloudHard
A data analytics team needs to process petabytes of streaming data from IoT devices in real time to detect anomalies and trigger alerts. They require a fully managed service that can handle massive throughput without provisioning servers. Which Google Cloud product is best suited for this task?
- AGoogle Cloud Storage
- BGoogle Cloud BigQuery
- CGoogle Cloud Dataflow
- DGoogle Cloud Pub/Sub
Show answer & explanationAnswer & explanation
Correct answer: C. Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines, making it ideal for real-time streaming data processing, transformation, and analysis at petabyte scale without server management.
Why the other options are wrong
- A. Cloud Storage is for object storage, not real-time streaming data processing.
- B. BigQuery is a data warehouse for analytical queries, not real-time streaming data processing and transformation.
- D. Pub/Sub is a messaging service for ingesting and delivering streaming data, but it doesn't perform the processing and anomaly detection itself.
Google Cloud Dataflow
Google Cloud Dataflow is a fully managed service for executing Apache Beam pipelines, enabling reliable, expressive, and unified stream and batch data processing at scale.
- Serverless and auto-scaling.
- Supports both streaming and batch data processing.
- Ideal for ETL, real-time analytics, and anomaly detection.
- Integrates with other Google Cloud services.
Memory trick: To 'Flow' through 'Data' streams, you need 'Dataflow' to process them.