What are some examples of streaming analytics in business?
Streaming analytics involves real-time data processing. Examples include fraud detection in banking, real-time customer insights in retail, and monitoring IoT devices.
Can you explain how streaming analytics is used in fraud detection?
In fraud detection, streaming analytics analyzes transactions in real-time to identify unusual patterns or behaviors that may indicate fraud.
What tools are commonly used for streaming analytics?
Common tools include Apache Kafka, Apache Flink, and Amazon Kinesis, which help in processing and analyzing streaming data.
How does streaming analytics benefit businesses?
It enables businesses to make faster decisions, improve customer experiences, and respond to market changes in real-time.
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