#036 Why Distributed Processing Is Super Important

You need to become comfortable with distributed processing. Data Science or the Internet of Things, the amount of data that is getting produced and processed grows like crazy. In this podcast I talk about how a platform for distributed processing looks like. I talk about the different layers that need parallelization, as well as the tools you can use for on premise installations or clouds like AWS, Azure or Google Cloud. Big Data tools like Kafka, Spark or server less like Kinesis or Lambda functions.

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Data Engineering is the plumbing of data science. Almost invisible, but super important and a big mess when done wrong. We talk about interesting Data Engineering trends and topics. I also train Data Engineering in my Data Engineering Academy at LearnDataEngineering.com