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Are you experiencing a challenge quickly obtaining and securely acquiring data insights for business analysis with clear traceability? Edge to Core Analytics is the solution for you.
Cloudera DataFlow (CDF), formerly Hortonworks DataFlow (HDF), is a scalable, real-time streaming analytics platform that ingests, curates, and analyzes data for key insights and immediate actionable intelligence. Use Hortonworks DataFlow QuickSpecs for current SKU numbers.
DataFlow addresses the key challenges enterprises face with data-in-motion:
- Processing real-time data streaming at high volume and high scale
- Tracking data provenance and lineage of streaming data
- Managing and monitoring edge applications and streaming sources
HPE and Hortonworks deliver an innovative approach to Big Data and modern data management challenges. If you are looking for a 100% open source platform for storing, processing, analyzing and transporting large volumes of data, Hortonworks Data Platform handles data from many sources and formats in a quick, easy, cost-effective manner. It delivers a stable and highly extensible platform, making it easier to integrate Apache™ Hadoop® with your existing data architectures and increases the value of the data organization.
Does your enterprise need to seamlessly integrate operational technology (OT) devices and a broad ecosystem of applications or implement IIoT successfully? The HPE Edgeline OT Link Software can increase efficiency and innovation by automating the interplay between diverse operational technologies (OT) and standard IT based applications to enable intelligent and autonomous decision making. Based on an open platform, this software can speed the deployment and simplify the management of applications, enabling your enterprise to act on the vast amounts of data generated by machines, assets and sensors from edge to cloud. The HPE Edgeline OT Link Software provides flexibility by supporting multiple types of modules which are configurable and support various modes of operation. This software has drivers that speak the language (protocol) of hundreds of physical industrial devices, allowing data to be seamlessly acquired from these devices and control commands securely sent to the devices.
How does my organization more efficiently and effectively analyze data in my Hadoop cluster environment? HPE Vertica SQL on Hadoop offers the fastest and most enterprise-ready way to perform SQL queries on your Hadoop data. We’ve leveraged our years of experience in the big data analytics marketplace and opened up our platform to use the full power of the Hadoop cluster. By offering an open, fast and enterprise-ready implementation of SQL on Hadoop, users can perform analytics regardless of the format of data or Hadoop distribution used.
Click here for more details on how HPE Vertica SQL on Hadoop handles your mission-critical analytics projects by merging the best of our analytics platform with the best that Hadoop can offer.