End-to-End Data Management
Magic’s Data Management & Analytics is an end-to-end managed cloud service that combines out-of-the-box functionality with the flexibility of extending and tailoring the service. Secured and managed by Magic, this service is architectured to be future-proof, flexible, and easy to deploy.
Our professional service team alleviates the need for your own special expertise by guiding you from project planning through implementation and beyond, providing all the assistance and comprehensive support you need.
Edge Component
Magic’s Data Management and analytics service incorporates Magic xpi, a proven low-code integration technology, which has been deployed and enhanced for decades, helping thousands of companies around the globe connect their systems. Pre-built connectors exist for most common enterprise applications– and a connection builder simplifies creating new connections.
A secure, low-footprint edge component connects to your systems to both collect data and provide feedback. Data from any corporate IT system – such as your CRM, ERP, POS, and more – may be securely integrated into a central location.
Data Lake
The Magic Data Management and Analytics cloud service performs high-speed ingestion of all your real-time or batch process data, structured and unstructured, into the ‘left side’ of its data lake.
All data is ingested schema-less, and meta-data is used to classify disparate data and put it into the proper processing bucket using customer-specific logic powered by a powerful low-code processing engine.
The highly configurable, and per-customer mapping mechanism cleans, enriches, and contextualizes the data to create value-added actionable insights.
The processed, actionable, data is stored in the ‘right side’ of the lake and made available through an actionable data layer and user-configured data cubes that enable a ‘build once and access many times’ approach for BI and other uses.
The actionable data layer uses data-specific data stores, including time series data (for data such as sales trends and inventory levels), high-speed data for digital twins (used for example in real-time tracking and optimization of goods and general transportation routes), a structured data store for general business information, and a document data store.
Third-party data consumption is enabled with APIs and call-back update services.
Data Lake
The Magic Data Management and Analytics cloud service performs high-speed ingestion of all your real-time or batch process data, structured and unstructured, into the ‘left side’ of its data lake.
All data is ingested schema-less, and meta-data is used to classify disparate data and put it into the proper processing bucket using customer-specific logic powered by a powerful low-code processing engine.
The highly configurable, and per-customer mapping mechanism cleans, enriches, and contextualizes the data to create value-added actionable insights.
The processed, actionable, data is stored in the ‘right side’ of the lake and made available through an actionable data layer and user-configured data cubes that enable a ‘build once and access many times’ approach for BI and other uses.
The actionable data layer uses data-specific data stores, including time series data (for data such as sales trends and inventory levels), high-speed data for digital twins (used for example in real-time tracking and optimization of goods and general transportation routes), a structured data store for general business information, and a document data store.
Third-party data consumption is enabled with APIs and call-back update services.