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Posts Tagged
‘spark streaming’

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Homespark streaming
While a lot of problems can be solved in batch, the stream-processing approach can give you even more benefits. In this blog post series we’ll discuss a real-world example of user session analytics to give you a use-case driven overview of business and technical problems that modern stream processing technologies like Apache Flink help you [...]

When properly deployed, Spark Streaming 1.2 provides zero data loss guarantee. To enjoy this mission-critical feature, you need to fulfil following prerequisites: The input data comes from reliable source and reliable receivers Application metadata is checkpointed by the application driver Write ahead log is enabled Let’s briefly describe these prerequisites. In this blog post, we […]

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