Edge-Driven Enterprise Architecture
Edge-driven data applications require an enterprise architecture that is scalable and extensible. Multiple data streams and cognitive services must be effectively converged to drive predictive intelligence. Streaming data is often buffered in a publish-subscribe messaging platform with storage persistence, then archived into a relational or NoSQL database for further analytics processing and consumption by application services, mobile services, event processing, and presentation services.
Developing a Real-Time Analytics Architecture
We can assist your team with architecting and deploying distributed analytics in an edge-to-enterprise environment. This includes the analysis of existing business structure and processes, PaaS and IaaS assessment and options, and implementation planning to address the goals of enterprise architecture — effectiveness, efficiency, agility, and durability.
Enterprise Architecture Services and Expertise:
Requirements elicitation and analysis
Integrated data warehouse architecture, design and development
Master data management and data conformance
Oracle, Microsoft SQL Server, and Microsoft Data Lake platforms
Azure Blob storage, NoSQL and persistent publish-subscribe message buses
Talk to our Enterprise Architects
We can support your data science team with new product development, or with adding real-time analytics scalability to your existing architecture. Contact us to discuss your requirements and product vision!