The biggest advantage of data science over traditional statistics is that it can draw conclusions from a junk pile of the supposedly unrelated information.
Flume, Kafka, and NiFi offer great performance, can be scaled horizontally, and have a plug-in architecture where functionality can be extended through custom components.
Apache Spark is an in-memory distributed data processing engine and YARN is a cluster management technology. Learn how to use them effectively to manage your big data.
Knowing what makes a great data engineer is a critical first step towards identifying and onboarding the right data engineers to make your enterprise succeed.
If event time is very relevant and latencies in the seconds range are completely unacceptable, Kafka should be your first choice. Otherwise, Spark works just fine.
Want to switch to the ELK Stack for your logging? Even better, want to get it running on your Azure cloud? This guide will walk you through setting up each component.
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