The data landscape has grown increasingly demanding and crowded in the last few years, with many platforms competing to offer the best processing and storage options. Tech consumers expect companies to deliver high-speed data processing while simultaneously offering a variety of adaptable solutions that work with traditional applications but also built for modern architecture like… Read more »
Apache Spark is one of the most popular frameworks for creating distributed data processing pipelines and, in this blog, we’ll describe how to use Spark with Redis as the data repository for compute. Spark’s main feature is that a pipeline (a Java, Scala, Python or R script) can be run both locally (for development) and… Read more »
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