Limited storage system and low data volume

Highly scalable storage system.

Converts event- based data to query-based processing.

Predictive analysis

Storing data generated by networked devices in their original format

Evaluating data for criteria as to whether it should be processed at a higher level

Formatting data for consistent higher-level processing

Connecting to all objects or devices in IoT environment

Evaluating data for criteria as to whether it should be processed at a higher level

Relaying data packets from the source to the destination node in the network

Optimizing processing locally for geographically separated devices

Handling cryptic data with additional context

Data abstraction, data storage, and data processing

Data formatting, presentation, and things services to users

Managing nodes, relaying data packets, and wireless mesh networks

Evaluating data for criteria, reformatting data, and distillation/reduction

To capture data and put it at rest for non-real-time use

To provide access to multiple data stores through data virtualization

To ensure an effective transition from input data to a data lake and to control applications

To empower people to do their work better

To provide access to multiple data stores through data virtualization

To empower people to do their work better

To store the data generated by networked devices in their original format

To evaluate data for criteria as to whether it should be processed at a higher level

To provide the right data at the right time

To find trends and gain actionable insights from data

To empower people to do their work better

To monitor and control data, and take necessary actions

Data storage

Data abstraction,

Data lake

Data warehouse

Data Analytics