Name: Building effective near-real-time analytics with Spark Streaming and Kudu
Start: 2016-05-31T18:00:00-04:00
End: 2016-05-31T20:00:00-04:00
Location: MediaMath

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Join us at MediaMath for food, drinks, networking and a great tech talk.

AGENDA:

• 6-630pm Food, Drinks and Networking

• 630-715pm Building effective near-real-time analytics with Spark Streaming and Kudu

• 715-800pm Networking

Spark Streaming allows developers to create streaming pipelines that harness the rich Spark API, and Kudu is a new storage layer that is able to capture the output of a stream in the same place that analytics users can then query that same data. Together these Hadoop ecosystem components allow for some exciting near-real-time analytics use cases. In this talk Cloudera will explore what is possible with this combination, how to efficiently develop these pipelines, and how to identify and avoid the pitfalls. This talk will be led by Jeremy Beard, Senior Solutions Architect at Cloudera.

Food & Refreshments Provided.

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Building effective near-real-time analytics with Spark Streaming and Kudu

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NY Cloudera User Group

Building effective near-real-time analytics with Spark Streaming and Kudu

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