Until recently, the standard solution to capture, analyze, and store data in near real-time involved using the Hadoop toolset. See a simpler solution here.
In this article, we discuss the need for businesses to leverage Apache Kafka to better implement scalable, real-time infrastructures for event streaming.
Data labeling is the foundation of most AI jobs. It determines the quality of ML and DL models. Know what AI professionals must know about data labeling.
Spark chooses the number of partitions implicitly while reading a set of data files into an RDD or a Dataset. This implicit process of selecting the number of portions is described comprehensively in this story.
There are many data grid offerings in the market that tout enhanced capabilities to display and manage analysis. We set out to see which popular offerings can withstand the true test of performance as it relates to “Big Data”.
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