Big data customer stories
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Industry stories

Redoop big data supports a state-owned bank’s fintech strategy
Supporting a Hadoop + Hive data warehouse project for one of China’s five largest banks, delivering a deposit insurance data warehouse covering hundreds of millions of users.
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Redoop big data strengthens a state-owned insurer’s data capabilities
The Redoop platform collects and analyses attendance, performance and customer visit records across the infrastructure, development and knowledge-sharing layers, and builds profiles that improve efficiency.
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PB-scale storage and management platform for satellite remote sensing
The Redoop platform stores and manages data from dozens of satellites. Distributed processing handles Gaofen, SuperView, Ziyuan and electromagnetic constellation data, powering satellite remote sensing analytics.
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Redoop platform powers bridge and vehicle GPS analytics
Distributed storage and query services for bridge monitoring and vehicle data, covering GPS track similarity and sensitive-area processing.
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Redoop drives an industrial big data strategy
For the automotive industry Redoop covers networking, servers, data collection, warehousing, analytics and visualisation in one stop, with a layered warehouse for clear structures, less duplicated development and unified definitions.
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Real-time, efficient railway transport information
On the Qinghai–Tibet railway transport management project, Redoop collects, analyses and presents data from multiple sources, returning analysis results in sub-second time.
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Redoop works with Wuxi smart city
Redoop provides precise, comprehensive services for Wuxi smart city: unified and intelligent data management with multi-tenancy, disaster recovery and industrial control systems.
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Redoop and IBM OpenPOWER support the Guangdong Public Security big data platform
For public security relationship-graph analytics, the Redoop platform computes graphs of hundreds of billions of relations with second-level response on massive data searches.
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Redoop consulting and training help HSBC roll out big data
Through training and consulting, engineers get up to speed quickly on building a new data warehouse on the Hadoop ecosystem, advancing the bank’s big data strategy.
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Automotive industrial big data solution
A well-known Chinese car maker faced scattered production data, heavy manual reporting, difficult data collection and few data-driven decisions, and wanted to track and analyse production in real time.
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Big data cluster optimization solution
Big data parallel systems are complex: a single incident can involve hardware, network, operating system, applications, the platform and data scale, so failures need analysis from an overall data-processing perspective.
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Big data operations and maintenance solution
A customer runs multiple production and test clusters with thousands of nodes and close to 100 PB of capacity, requiring 7×24 operation and fast troubleshooting to locate and identify issues.
View the solutionStories and images are synced from the original website. Figures describe historical projects and are not performance commitments for other projects.
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