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removing old kafka compression blurb
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articles/event-hubs/azure-event-hubs-kafka-overview.md

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@@ -133,16 +133,6 @@ As explained [above](#is-apache-kafka-the-right-solution-for-your-workload), the
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[Azure Service Bus](../service-bus-messaging/service-bus-transactions.md) has robust transaction support that allows receiving and settling messages and sessions while sending outbound messages resulting from message processing to multiple target entities under the consistency protection of a transaction. The feature set not only allows for exactly once processing of each message in a sequence, but also avoids the risk of another consumer inadvertently reprocessing the same messages as it would be the case with Apache Kafka. Service Bus is the recommended service for transactional message workloads.
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### Compression
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The client-side [compression](https://cwiki.apache.org/confluence/display/KAFKA/Compression) feature of Apache Kafka compresses a batch of multiple messages into a single message on the producer side and decompresses the batch on the consumer side. The Apache Kafka broker treats the batch as a special message.
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Kafka producer application developers can enable message compression by setting the compression.type property. In the public preview, the only compression algorithm supported is gzip.
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`Compression.type = none | gzip`
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The feature is currently only supported for Apache Kafka traffic producer and consumer traffic. AMQP consumer can consume compressed Kafka traffic as decompressed messages. The payload of any Event Hubs event is a byte stream and the content can be compressed with an algorithm of your choosing though in public preview, the only option is gzip. The benefits of using Kafka compression are through smaller message size, increased payload size you can transmit, and lower message broker resource consumption.
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### Kafka Streams
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Kafka Streams is a client library for stream analytics that is part of the Apache Kafka open-source project, but is separate from the Apache Kafka event broker.

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