Dashboards

MapLarge Dashboards enable the rapid delivery of applications to production with:

• Short Prototype to Production Cycles
• Low Friction Data Discovery & Fusion From Multiple Sources
• Efficient Collaboration Workflows with Audit-Grade
• Governance
• Reusable Analytic Templates

Task Management

The MapLarge Platform performs task management on multi-domain, multiple-source sensor systems for end-to-end workflows, including detecting, collecting, integrating, analyzing, visualizing, and alerting on activity data. Orchestrating multiple sources allows for richer contextual understanding of the activity and the environment.

Analytics

Enterprise operations need high-performance multi-source analytics both out-of-the box and with the flexibility to independently integrate or develop multi-source analytic capabilities.

Mapping Engine

Geospatial data provides critical insights for enterprise decision making. As data volumes grow, the ability to process geospatial data at scale becomes an important element of any enterprise application.

Alerting Framework

Enterprise decision makers commonly articulate functional-area performance metrics with defined KPIs. When KPI metrics are codified in common operating pictures with streaming data feeds and alerting, the system may provide decision makers timely notice to take action in accordance with organizational policies and procedures.

Streaming Ingest

Decision support from real-time sources connects observable phenomena to actionable intelligence. From subsurface to space and everywhere in between, the MapLarge Platform can help orchestrate multiple sources of data into enterprise mission-critical applications and workflows.

ETL Processing

No-code ETL Workflows enable product managers and domain experts (e.g., analysts, operators, engineers, etc.) to efficiently create data products for end customers. Customer insight and feedback loops provide iterative refinements to the solution.

Multi-Model Database

Enterprise operations require ingestion and integration across a spectrum of heterogeneous data ranging from unstructured text to rigidly-structured relational databases. The MapLarge multi-model database may be thought of as an abstraction layer over unstructured/semi-structured data warehouses and lakes adding queries, constraints, ACID transactions, and other functionality. Furthermore, MapLarge’s comprehensive set of adaptors and API increase speed-to-value and maximize data repository performance.

Sharing & Collaboration

The MapLarge Platform facilitates real-time product creation with a governance framework for internal coordination and progressive release iterations to different stakeholder groups. Alerts and notifications linked to governance workflows cue users to take action based on workflow configuration.

Extensibility

Integration mechanisms are required for client-side, server-side, and custom application development to deliver capability at different levels of the technology stack. Integrating into an existing stack allows for existing governance schemas to be applied as well as fully leveraging existing infrastructure and data technology investments.

Security Administration

Mission Critical Operations require methods to restrict system access to authorized users based on functional requirements. Secure and efficient system administrative operations to meet these requirements depend upon granular definition of roles, authority levels, accounts, and permissions extended to trusted users.

Machine Learning Ops

In-house data scientists and software engineers require data analytic tools to support the AI and machine learning model lifecycle on production scale data. Enterprise R&D teams need to deploy models to production data without requiring a re-factor to operationalize.