CERN turns to Pentaho to optimize operations
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Lumada Data Integration
Access, Prepare and Blend Data Faster
Manage fast-growing volumes and increased variety and velocity of data with visual tools that reduce time and complexity of building and maintaining analytic data pipelines.
15x Productivity with Automation
Onboard multiple thousands of data sources efficiently and quickly.
10x Faster Production Deployment
Choose execution engine to suit the job without changing data pipelines.
3x Improvement in Pipeline Quality
No-code functionality versus hand-coding data pipelines in Hadoop environments.
Integration Simplified
Collaboratively build, deploy and monitor dataflows to streamline data delivery.
Accelerated Data Onboarding
- Broad connectivity to virtually any data source or application
- Drag-and-drop interface to create data pipelines
- Dataflow templates that execute edge to cloud
Lightweight for Data Self-Service
- Inline and stepwise visualization of data
- Blend data anywhere on-premises or cloud
- Flexible architecture to run anywhere
Robust Dataflow Orchestration
- Seamlessly switch between native engine and Apache Spark
- Operationalize R, Python, Scala & Weka machine learning models
- Extend for analytics with built-in integration
Customer Stories
See why organizations around the world are using Lumada Data Integration, delivered by Pentaho, to realize better business outcomes.
Resources and Guides
Faster Onboarding
Pentaho Data Integration’s metadata injection to accelerate complex data onboarding projects.
DATASHEET FOR PRODUCTIVITY
Access, Prepare and Blend varied data sources
Integrate and blend big data productively and with high performance.
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Dataflow Studio
Enable data self-service for business by allowing teams to collaboratively build, deploy and monitor flexible data flows.
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Leverage Hadoop in the Analytic Data Pipeline
Comprehensive approach to Hadoop for ingestion, transformation, and analytics.
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DataOps Helps Organizations Unlock Data Value
How to achieve intelligent data operations for more effective decision making.
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Unlock Data-Driven Operational Efficiency
Learn how data-driven organizations adapt to change by having a flexible end to end data processing pipeline.
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Forrester Wave for Enterprise Data Fabric
Hitachi Vantara named a strong performer in the Forrester Wave™ for Enterprise Data Fabric in 2020 with key edge-core-multicloud capabilities.
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Integration with Google Dataproc
Reduce data management cost and complexity of Google Cloud’s Hadoop offering.
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Integration with Lumada Data Catalog
Reduce data discovery time and increase your pipeline resilience.
See HowLumada Data Integration
Reduce time and complexity to access, prepare and blend multiple data sources to deliver analytics-ready data.
Features
Access data sources at the edge, core and cloud
Reduce time and complexity to access, prepare and blend sources to deliver analytics-ready data.
Connect to and move data of any size in any format
Access data sources on-premise or in the cloud from flat files, RDBMS, object stores and application databases.
Cluster to container flexibility
Develop adaptive and scalable pipelines with Kubernetes and Docker* clusters across multiple clouds.
*Limited Availability for organizations with matching requirements
Orchestrate machine learning
Operationalize R, Python, Scale and Weka models that use industry leading libraries.
Move data to support real time operations
Consume Kafka, JMS and Kinesis messages and process streaming, IoT and clicks data with low latency.
Infer metadata, prepare and deliver analytics ready data
Profile, validate and discover data. Then cleanse, structure and visualize analytics-ready data.
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CERN's systems need to manage high volumes of confidential data on its employees and their families, so security, data governance and data integrity are all paramount. After a review of five different proprietary and open source platforms, Pentaho emerged as best adapted to our needs.
- Jan Janke
Deputy Group Leader, CERN