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Data Analytics CERN openlab Open Day Manuel Martin Marquez.

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Presentation on theme: "Data Analytics CERN openlab Open Day Manuel Martin Marquez."— Presentation transcript:

1 Data Analytics CERN openlab Open Day Manuel Martin Marquez

2 Self-Service Data Analytics
Future Circular Collider Study Collaboration with more than 70 institutes from all over the world Need for a central data repository, which integrates several data sources - Control Configuration Fault tracking data Control Iot Systems Operation Logbook Leverage analytics capabilities for highly heterogonous objectives Different expertise and backgrounds involved

3 Self-Service Data Analytics
Future Circular Collider – Oracle Big Data Discovery Agile data governance Self-Service discovery tools User driven ETL Collaboration and findings sharing Hide technology complexity Integrate seamlessly with advance analytics User ETL -Help to release the IT dep by pushing this activities to the ones that know better what to do by offering easy mechanism Hide Technology -Avoid technological barrier -Add an abstraction layer that minimize the risks on technologies attachments -Integrate backgrounds Data Discovery (Self) -Help to focus on the data that matters -Understand what is avaible, etc -Unlock the exploitation of data from different perspectives -Advance Analytics Close the circle on we have focused on the data that matters

4 Self-Service Data Analytics
Graph Data Bases – Oracle Parallel Graph Analytics Assess the Data Analytics advantages of Graph Databases Find patterns and indirect relations not easy to obtain with traditional database systems Evaluate the potential applications of the technology within CERN Proof-of-Concepts: - Zenodo - Accelerator Faults analysis Use Cases: Recommendation Systems Anomaly Detections Fraud detection Connection Analysis Recommendation and Anomalies detection on Zenodo Keyword data Explain a little the keywords problem Record The demo

5 Self-Service Data Analytics
Some Future Plans – Cloud Analytics Oracle Data Visualization and Discovery Cloud solutions Streaming Data – Kafka, Oracle Stream Explorer and Golden Gate Push analytics computation to the cloud Evaluate services integration Service Integration CERN SSO etc.


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