Andrew,
I am not sure I understand. We have built several analytics applications. We typically use custom aggregations as they are not available directly in the library.
-mohan
On 4/28/21, 12:12 PM, "Andrew Otto" <otto@wikimedia.org> wrote:
I'd assume this is because Kafka Streams is positioned for building
streaming applications, rather than doing analytics, whereas Spark is more
often used for analytics purposes.
I am not sure I understand. We have built several analytics applications. We typically use custom aggregations as they are not available directly in the library.
-mohan
On 4/28/21, 12:12 PM, "Andrew Otto" <otto@wikimedia.org> wrote:
I'd assume this is because Kafka Streams is positioned for building
streaming applications, rather than doing analytics, whereas Spark is more
often used for analytics purposes.
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