Microsoft Azure Data FundamentalsDescribe an analytics workload on AzureMedium
A global manufacturing company uses various IoT devices to monitor machine performance across its factories worldwide. They need to collect high-volume, low-latency telemetry data from these devices for real-time anomaly detection and predictive maintenance. Which Azure service is BEST suited for ingesting this type of data?
- AAzure Data Lake Storage Gen2
- BAzure Blob Storage
- CAzure Event Hubs
- DAzure SQL Database
Show answer & explanationAnswer & explanation
Correct answer: C. Azure Event Hubs
Azure Event Hubs is specifically designed for ingesting high-throughput, low-latency data streams, making it ideal for IoT telemetry and real-time analytics scenarios. It can handle millions of events per second with low latency.
Why the other options are wrong
- A. Azure Data Lake Storage Gen2 is primarily for large-scale data storage and analytics, not real-time stream ingestion.
- B. Azure Blob Storage is an object storage solution suitable for large unstructured data, but not optimized for real-time, low-latency event ingestion.
- D. Azure SQL Database is a relational database service best for structured data storage and transactional workloads, not high-volume stream ingestion.
Azure Event Hubs
Azure Event Hubs is a highly scalable data streaming platform and event ingestion service that can process millions of events per second.
- Designed for high-throughput, low-latency data ingestion.
- Ideal for telemetry, clickstreams, and IoT data.
- Integrates with other Azure services for real-time analytics.
Memory trick: Events Happen Fast for IoT Data Streams.