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.
