With IoT exploding across all verticals and with terabytes of data flowing in through multiple streaming sources, enterprises are having a hard time trying to gain real-time insights and take corrective action on data as it flows in. Hortonworks DataFlow (HDF) addresses the most compelling use cases of today’s enterprises struggling to find predictive insights from their large volumes of data-in-motion.
Join the Hortonworks product team as they go through HDF 3.1 and the core components for a modern data architecture to support stream processing and analytics.
You will learn about the three main themes that HDF addresses:
- Developer productivity
- Operational efficiency
- Platform interoperability