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AI Agents: Empower Data Teams With Actionability
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Cloudera
Cloudera Integration Overview
Unravel brings AI-powered performance recommendations and troubleshooting insights to Cloudera.
Unravel complements and extends existing Cloudera tooling
Unravel works with Cloudera Manager, Workload XM and SDX.
- Unravel complements Cloudera Manager by providing intelligent automation that can view the entire Cloudera stack and running applications.
- Unravel complements XM by applying AI/ML to auto-tune Spark workloads and accelerate troubleshooting of performance degradations and failures.
- Unravel complements SDX security, governance and metadata management capabilities by providing application based cluster discovery.
Predictive and proactive data operations for large Cloudera clusters
Achieve Peak Performance for Spark and Hadoop Applications on Cloudera.
- Instantly understand why Spark, Impala and Kafka applications underperform or fail in Cloudera environments, and then accelerating them with AI-powered auto-tuning.
- Confidently define, and meet enterprise service levels and create better accounting through detailed reporting and alerting.
- Develop a data-driven, enterprise grade support capability for your modern data apps running on Cloudera Enterprise Data Hub.
Instant observability of the full Cloudera stack
Accelerate Data Operations for Cloudera Environments.
- Reduce MTTR and ensure optimal cluster/cloud resource usage for the lowest TCO.
- Eliminate finger-pointing between development and ops teams with verifiable, data-driven reporting for apps and clusters.
- Real-time intelligence and autonomous tuning your ML, AI, IoT, BI, DW, and ETL pipelines.
Proud member of the Cloudera Connect partner program
