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Posted on December 9, 2016 by Ankur Desai

In my previous blogpost, I explained the three major components of a streaming architecture. Most streaming architectures have three major components – producers, a streaming system, and consumers. Producers (such as Apache Flume) publish event data into a streaming system after collecting it from the data source, transforming it into the desired format, and optionally filtering, aggregating, and enriching it.

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Posted on December 6, 2016 by Ted Dunning

In this week’s Whiteboard Walkthrough, Ted Dunning, Chief Application Architect at MapR, describes advantages of MapR Converged Data Platform and how they work in the cloud. With files, tables and streams engineered into the same technology, MapR has particular advantages for multi-tenancy in the cloud including common pathnames and common security.

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Streaming Data Architecture:

New Designs Using Apache Kafka and MapR Streams

 

 

 

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