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.
Latest posts by Timothy King (see all)
- The 9 Best Embedded Analytics Tools for 2020 and Beyond - November 15, 2019
- Information Builders Unveils Cloud WebFOCUS BI and Analytics Platform - November 14, 2019
- The Top 30 Best Data Visualization Books on Our Reading List - November 12, 2019