Top 4 Apache Spark Use cases in Real Time
Apache Spark is quickly gaining steam both in the headlines and real-world adoption. UC Berkeley’s AMP Lab developed Spark in 2009 and open sourced it in 2010. Since then, it has grown to become one of the largest open source communities in big data with over 200 contributors from more than 50 organizations. This open source analytics engine stands out for its ability to process large volumes of data significantly faster than Map Reduce because data is persisted in-memory on Spark’s own processing framework. As more and more organizations recognize the benefits of moving from batch processing to real time data analysis, Apache Spark is positioned to experience wide and rapid adoption across a vast array of industries. Interested in learning more about Apache Spark , collaboration tools offered with QDS for Spark, or giving it a test drive? Click the link to learn more about Top 4 Apache Spark Use cases in Real Time Search Tag: Real time spark use cases | Apache Sp