Data Management Platform


Data Management is the new gold 
 

Just as gold is a store of value and thus an investment opportunity, the data management takes on a new importance and value in the digital age. Raw data isn't valuable in and of itself; rather, the value is created when it is gathered quickly, completely, and accurately, and connected to other relevant data, in other words when applying data management.

The goal of data management is to help people, organizations, and connected things optimize the use of data while making sure all the regulations and security requirements are being met, so that they can make decisions and take actions that maximize the benefit to the organization.

Data Management Platform

Data Management Platform  is developed, supported and maintained by Ericsson Nikola Tesla. It is built following modern architecture principles and open standards which makes integration and deployment flexible and simplistic. 

In various areas there are sensors, applications or users that are generating and sending some time series data to the IoT platform so that someone can use that data to make decisions or to be informed. Different hierarchies or users and devices need to be modelled depending on desired complexity and size of some use case.

The Data Management Platform  is telecom grade, industry agnostic platform that enables communication between entities in various Internet of Things application scenarios, such as sensor devices that produce measurements and applications that use such measurements. 

Data Management Platform  has been designed to be scalable and to support SaaS delivery model. 
 
Grow your business with Data Management platform
 
Data Management platform will help Organizations to grow business with providing:
 
  • Efficient data – collect, store and organize data in best possible way to suit your needs
  • Continuous development, short time-to market for new features
  • Enriching data for enhanced view
  • Breaking silos – Bringing your data to one single platform for cohesive view
  • Modularized and extendable traffic flow ready to serve as analytics data preparation process
  • Agnostic to vertical industry and application
  • Supporting multiple organization sizes, hierarchies
  • Simple provisioning – Onboard new customers through APIs or UI
  • Easy to use and intuitive dashboards
Key features of the Data Management platform can be summarized as following:
 
Data traffic interfaces supporting transformation, enrichment, storage, and routing of data collected from any kind of IoT device, application, user or other entity
  • Modularized traffic flows 
  • Input and output data transformation supported via a flexible adapter framework  
  • Input data enrichment enabled via a flexible information model
  • Flexible output (push and pull) data filtering based on all combinations of the fully enriched input data dimensions
Flexible information model
  • Proven in data modeling for IoT projects from various domains
  • Intuitive and simple to use Provisioning interfaces
Fine-grained access control
  • Account-role-permission based
  • Enables access control to all REST interfaces
Rule engine
  • Define simple or complex rules (logic and conditions) for your data
  • Get notified and trigger actions based on your needs
User friendly, easy to use 
  • Available documented APIs
  • UI for onboarding new entities in the Platform, creating relations and configurations
  • Intuitive and easy to use dashboards 
Multiple deployment options
  • Virtualized environments (public or private cloud) and physical servers supported
  • Container deployment supported
High performance and scalability
  • 30.000 TPS (sensor measurements per second) measured
  • Linear horizontal scalability up to millions of TPS corresponding to tens of millions of devices

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