Predictive Analytics: 7 Use Cases for Apache Spark
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By
Tim King
, Executive Editor at Solutions Review - Best Practices, Presentations,
According to TIBCO’s SVP of Analytics Mark Palmer, there are 7 use cases where Apache Spark can and should be applied to predictive analytics. The following slideshow, which Palmer presented at the 2016 Hadoop Summit, dives deep into the ways that the Big Data framework can be executed in a data environment. Spark enables enterprise organizations to access diverse data sources in disparate environments, and data-driven companies are increasingly deploying it in creative ways. Palmer cites the ways in which some of the top companies in the world are utilizing the technology to provide users with agility, reliability, and faster time-to-insight.
This article was written by Tim King on August 9, 2016
Tim King
Executive Editor
Tim is Solutions Review's Executive Editor covering the human impact of AI on the future of work and learning. He is also the Media Strategist behind Insight Jam (1M+ on YouTube) events and programming. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in multiple categories, Tim is a recognized thought leader in enterprise tech and AI.
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