IBM and Cloudera have partnered to create an industry-leading, enterprise-grade data and AI services using open source ecosystems — all designed to achieve faster data and analytics at scale. As a part of this partnership, IBM provides the following advantages:
Combine Cloudera DataFlow with Cloudera Data Platform and IBM Cloud Pak® for Data capabilities, built on an open, extensible architecture. Collaboratively build models to apply to stream flows and analyze massive amounts of data in real-time. Make sense of your data — unstructured text, video, audio, geospatial and sensor — so you can spot opportunities and risks as they happen. Check out the blog on deeper integration.
An enterprise data platform and supporting products and services offer end-to-end solutions.
A commitment to open source-based cloud solutions and products optimizes interoperability.
Self-service access quickly connects data scientists to data for real-time decisions.
On-premises, multicloud and hybrid options support secure data federation.
Build an enterprise data lake with the proper level of data governance and security. Access the analytic tools needed by data scientists to optimize data models, visualization and machine learning.
Predict failures and take corrective actions in real time.
Gain complete insights from structured and unstructured data including images, texts and logs.
Offload EDW data and ETL workloads to a data lake for cost efficiencies.
The Cloudera Data Platform Private Cloud helps you achieve faster time to value with containerized data services and accelerate time to insight for data analytics. Perform integrated analytics from the edge to AI with a comprehensive on-premises platform that spans ingest, processing, analysis, experimentation and deployment. Optimized for hybrid cloud deployment, this platform unites the latest open-source analytics technologies into a multifunction analytics and data management system and is available as a single offering through IBM support, license and deployment.