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Big Data

Take advantage of all the opportunities
opened by the value-added exploitation of big data

Enrich the existing infrastructure towards new use cases

Big Data use cases are diverse and their optimization requires differentiated technical architectures. Bull has designed pre-built systems tailored to different use cases. They allow you to summon the most suitable technological architecture, whether it is for real-time or quasi real-time processing to  either deal with massive data, or for complex event processing, data streams processing, with all kinds of architectures: distributed, massively parallel, 'in-memory', etc.

  • Real-time semantic analysis use cases developed by Sinequa on basis of bullion servers and their unmatched "in-memory" capacities.
  • bullion fast data analytics, resulting from technological collaboration between Bull and Pivotal can analyze real-time data from the massive digital economy.
  • Bull has developed several models of Hadoop appliances adapting to the demands of computing power and storage capacity while optimizing the price-performance ratio.

These pre-integrated systems complete Bull analytical infrastructure portfolio (Fast-track, massively parallel appliances). They also allow to cross the information system traditional data (production system, data warehouse) and external data - structured or unstructured - to develop new use cases.

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Partners

EMC, Gigaspaces, MapR, Microsoft, MongoDB, Parstream, Pivotal, QuartetFS, SAP, Sinequa, Software AG, Tibco
Bull also works with many Open sources solutions in the Hadoop, NoSQL, newSQL and CEP ecosystem.

Resources

Livre blanc
White paper

Manufacturing – « What businesses can learn from big data and high performance analytics in the manufacturing industry’ »


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