Fast Data with Dean Wampler
Published December 8, 2017
29 min
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    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 You can also subscribe to the InfoQ newsletter to receive weekly updates on the hottest topics from professional software development. Subscribe: Like InfoQ on Facebook: Follow on Twitter: Follow on LinkedIn: Want to see extented shownotes? Check the landing page on InfoQ:
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