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HPE Cloudera Data Platform Private Cloud Storage per TB Addl to 48TB per Node 1-year Subscription E-LTU
SKU
P9A29AAE
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Cloudera Data Platform Private Cloud Storage per TB Addl to 48TB per Node 1-year Subscription E-LTU
| SKU | P9A29AAE |
|---|---|
| EAN | 0190017011462 |
| Manufacturer | HPE |
| Availability | Out of Stock |
Reduce Data Integration Development Time
Imagine a no-code approach to building complex data pipelines with minimal effort. CDF offers a simple visual UI for building sophisticated data flows to accomplish major data ingestion, transformations, and enrichment from a variety of streaming sources.
Powered by Apache NiFi, CDF ingests data from devices, enterprise applications, partner systems, and edge applications generating real-time streaming data.
Get Real-time Insights Faster than Ever
Real-time insights and actionable intelligence mean you can act sooner.
Using the powerful streaming platform Apache Kafka, CDF can process several million transactions per second, identify key patterns, compare against machine learning models, and offer predictive or prescriptive analytics to help business leadership make key decisions and seize opportunities.
Manage and Secure your Data from Edge to Enterprise
CDF enables high volume data collection at the edge, even from edge devices using MiNiFi.
Now you can set up widely distributed IoT deployment models for regional data collection with ease using NiFi with MiNiFi to stream data from the edge. Tight integration with Apache Ranger gives CDF the unique advantage of seamless security across all your data-in-motion and data-at-rest.
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