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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