By: Bart Baesens, Seppe vanden Broucke
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You asked: Can you give some examples of streaming analytics (such as provided by Spark Streaming, for instance)?
Our answer:
Streaming analytics can be useful in a variety of cases. The following overview provides some examples:
- Twitter is performing real-time analysis to spot rising trends
- Netflix has a “streaming” version of their recommender system in place, as well as an offline version which is regularly retrained
- Companies such as Uber are using streaming analytics to get updates on their fleet in real-time
- Companies working with sensor data also oftentimes retrieve this data in an on-line, streamed manner
Check out “Architecture of Giants” for more insights in the tech stack of big engineering-driving companies and how they’re using stream pipelines such as Spark or Kafka.
