Spark

Apache Spark is an analytics engine that can handle very large data sets. This guide reveals strategies to optimize its performance using PySpark.

In this post, Toptal engineer Radek Ostrowski introduces Apache Spark—fast, easy-to-use, and flexible big data processing. Billed as offering “lightning fast cluster computing”, the Spark technology stack incorporates a comprehensive set of capabilities, including SparkSQL, Spark Streaming, MLlib (for machine learning), and GraphX. Spark may very well be the “child prodigy of big data,” rapidly gaining a dominant position in the complex world of big data processing.