In this podcast, Deam Wampler discusses fast data, streaming, microservices, and the paradox of choice when it comes to the options available today building data pipelines.
Why listen to this podcast:
* Apache Beam is fast becoming the de-facto standard API for stream processing
* Spark is great for batch processing, but Flink is tackling the low-latency streaming processing market
* Avoid running blocking REST calls from within a stream processing system - have them asynchronously launched and communicate over Kafka queues
* Visibility into telemetry of streaming processing systems is still a new field and under active development
* Running the fast data platform is easily launched on an existing or new Mesosphere DC/OS runtime
More on this: Quick scan our curated show notes on InfoQ http://bit.ly/2BYTMbI
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