case
Global Broker Case Study
Global Broker Case Study
Build and manage a centralised enterprise data plant for addressing MIFID II business requirements and act as single reporting source for all customer activities.
Build and manage a centralized enterprise data plant for addressing MiFID II business requirements and act as a single reporting source for all customer activities. In order to store required data volume, provide batch and streaming data analytics, and keep low cluster operation costs, multiple Big Data technologies were used for ingestions, storage, transformation, and analytics.
Main features
- Specify technical requirements and define solution architecture
- Orchestrate the initial Infrastructure to support the Big Data components quality assurance and production environments
- Deploy and configure HortonWorks and Big Data stack required as per technical requirements
- Develop the configuration and deployment as Infrastructure-as-code
- Deployment of Elastic and Cassandra stacks as part of the Data Plant
- Configure centralised monitoring for cluster and respective components (platforms and infrastructure)
Key Points
Highly scalable cluster
Reproducible infrastructure as code
Security compliant with industry requirements
Reduced cost for infrastructure and plataforms management
Fast data pipeline for real-time analytics
Virtualization data centralisation
Technologies
