The ArcGIS Well-Architected Framework provides IT and GIS professionals with a comprehensive set of ArcGIS system patterns to assist in designing an ArcGIS deployment tailored to an organization’s needs.
The real-time data system pattern is designed to facilitate real-time data streaming and analytics, enabling organizations to harness the power of live data for immediate insights and decision-making. This pattern serves as a foundational system that supports the continuous flow of data, processing, and analysis.
Industry Applications and Use Cases
The real-time data system pattern is highly versatile. Applications span various industries and use cases. Within financial services, real-time data analytics play a crucial role in fraud detection, risk management, and algorithmic trading. In smart cities, real-time data processing is instrumental in initiatives such as traffic monitoring, emergency response optimization, and efficient resource allocation. In Internet of Things (IoT) monitoring, organizations leverage real-time data to proactively maintain and optimize IoT devices and sensors.
These diverse applications showcase the broad utility and impact of the system pattern across different sectors, highlighting its significance in enhancing operational efficiency and decision-making processes.
Deployment Considerations and Options
This system pattern offers several benefits:
- Continuous Data Processing: The pattern enables the seamless processing of data streams as they are generated, allowing for instant analysis and response.
- Real-Time Analytics: Organizations can leverage real-time analytics to gain immediate insights, detect patterns, and make informed decisions promptly.
- Scalability and Flexibility: The system pattern is scalable, accommodating varying data volumes and processing requirements, and ensuring flexibility in handling dynamic data streams.
- Integration Capabilities: It offers integration with a wide range of systems and tools, allowing for seamless data flow and interoperability.
This system pattern can be deployed through software as a service (SaaS) or Windows/Linux. When considering deployment options, factors such as scalability, reliability, security, and the balance of responsibility between your organization and Esri play a significant role.
The SaaS deployment pattern using ArcGIS Online and ArcGIS Velocity provides quick time-to-market advantages, while the Windows/Linux deployment pattern, powered by ArcGIS GeoEvent Server, offers extensibility through custom input connectors and a gallery of add-on processors and connectors. Additionally, the use of big data analytics varies between deployment patterns, with the SaaS pattern incorporating big data analysis capabilities and the Windows/Linux pattern focusing on storing historical observations for batch analysis. Integrating real-time feeds and big data analytics results with a broader user base typically requires the use of multiple system patterns. The self-service mapping, analysis, and sharing system pattern or the enterprise application hosting and management system pattern can be combined with the real-time data streaming and analytics system pattern for comprehensive data management and analysis.
The real-time data system pattern within the ArcGIS Well-Architected Framework empowers organizations to leverage real-time data for enhanced decision-making, operational efficiency, and strategic insights. By embracing this pattern, organizations can stay ahead in today’s data-driven landscape and unlock the full potential of real-time data analytics.
