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Data Lake for Enterprises
book

Data Lake for Enterprises

by Vivek Mishra, Tomcy John, Pankaj Misra
May 2017
Beginner to intermediate
596 pages
15h 2m
English
Packt Publishing
Content preview from Data Lake for Enterprises

Time window

As the name suggests, it groups the incoming data stream by time. Timestamp which Flink looks are:

  • Processing time: Uses the system/machine time where Flink executes.
  • Event time: Uses an existing timestamp on the data stream event.
  • Ingestion time: A mix of the preceding two. When each event arrives, it attaches the event with the system time and then uses these stamped time on these events for grouping.
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Publisher Resources

ISBN: 9781787281349Supplemental Content