Discover the Cloudera Data
Modernizing your data lifecycle requires an enterprise data p Cloudera Data Platform (CDP) meets that need and powers d connecting and securing the entire data lifecycle.
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DataFlow: Collect flows, streams, and analytics for the lifecycle Easily ingest, route, manage, and deliver data-at-rest and data-in-motion from the Edge, any cloud, or the data center to any downstream system with built-in end-to-end security and provenance. CDP Data Hub uses Apache NiFi for flow management and Apache Kafka for streams messaging—both part of Cloudera DataFlow, a comprehensive, real-time streaming data platform that delivers key insights and immediate actionable intelligence. Data Engineering: Enrich, refine, structure, and prepare data for the lifecycle Cloudera Data Engineering helps enrich, transform, and cleanse data, making it easy to create, execute, and manage end-to-end data pipelines. It executes a wide range of data processing workloads in an extremely high-performance manner including batch and real-time stream processing using Apache Spark and Spark Streaming, supported by multiple storage options including Apache HBase, Apache Kudu, and cloud object storage. Data Warehouse: Provide self-service access to reporting for the lifecycle Deliver business insights on massive amounts of verified data to thousands of users at extreme speed and scale without compromising compliance and blowing budgets. Seamlessly and securely moving on-premises workloads to any cloud, Cloudera Data Warehouse outperforms shadow IT by keeping up with evolving business requirements and meeting SLAs with self-service access to reports, dashboards, and advanced analytics.
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