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Posts Tagged
‘spark streaming’

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Homespark streaming

Streaming Analytics Better than Classic Batch – When and Why ? – Part 1

Mar 15, 2017

Adam Kawa

apache flink, batch processing, hadoop, spark streaming, stream processing

Blog

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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 [...]

Recent Evolution of Zero Data Loss Guarantee in Spark Streaming With Kafka

Jun 10, 2015

Adam Kawa

fault tollerance, fault-tolerance, kafka, kafka direct api, spark, spark streaming, wal, zero data loss, zookeeper

Post

1

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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