Those who follow big data technology news probably know about Apache Spark, and how it’s popularly known as the Hadoop Swiss Army Knife. For those not so familiar, Spark is a cluster computing framework for data analytics designed to speed up and simplify common data-crunching and analytics tasks. Spark is certainly creating buzz in the big data world, but why? What’s so special about this framework?
- Spark is Speedy
- Data Scientists Love Spark
- Spark Effectively Handles Workloads
- Soaring Demand for Spark Professionals
- IoT Fits Right in
Enterprises are increasingly adopting Spark for many reasons, ranging from speed and efficiency, to analytics versatility, development familiarity, ease of use and a single integrated system for all data pipelines. Spark has established considerable momentum today across many verticals, and we can only expect to see it grow in 2016.
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