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How ScalingData Uses Apache Kafka for Event-Oriented Machine Data - Eric Sammer
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While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. Eric Sammer, CTO at ScalingData and author of Hadoop Operations talks about how ScalingData uses Kafka together with other open source systems such as Hadoop, Solr, and Impala/Hive to collect, transformation and aggregate event data and then build applications on top of this platform.
This talk was given at the Apache Kafka NYC meetup at Tapad.
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While we frequently talk about how to build interesting products on top of machine and event data, the reality is that collecting, organizing, providing access to, and managing this data is where most people get stuck. Eric Sammer, CTO at ScalingData and author of Hadoop Operations talks about how ScalingData uses Kafka together with other open source systems such as Hadoop, Solr, and Impala/Hive to collect, transformation and aggregate event data and then build applications on top of this platform.
This talk was given at the Apache Kafka NYC meetup at Tapad.
ABOUT DATA COUNCIL:
FOLLOW DATA COUNCIL:
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