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 [...]

Zero Data Loss Guarantee in Spark Streaming 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 a reliable source and reliable receivers Application metadata is checkpointed by the application driver Write ahead log is enabled Let’s briefly […]

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