Data can be streamed in real time or ingested in batches. When data is ingested in real time, each data item is imported as it is emitted by the source. When data is ingested in batches, data items are imported in discrete chunks at periodic intervals of time. An effective data ingestion process begins by prioritizing data sources, validating individual files and routing data items to the correct destination.

The reality of big data means that data transformation is more important for businesses than ever before. An ever-increasing number of programs, applications, and devices continually produce massive volumes of data. And with so much disparate data streaming in from a variety of sources, data compatibility is always at risk. That’s where the data transformation process comes in: it allows companies and organizations to convert data from any source into a format that can be integrated, stored, analyzed, and ultimately mined for actionable business intelligence.

IoT dashboard is an information management tool that is used to track KPIs, metrics, and other key data points relevant to a business, department, or specific process. Through the use of data visualizations, dashboards simplify complex data sets to provide users with at a glance awareness of current performance.

IoT device management is the process of authenticating, provisioning, configuring, monitoring and maintaining the device firmware and software that provides its functional capabilities. Effective device management is critical to establishing and maintaining the health, connectivity, and security of IoT devices. IoT application vendors typically provide comprehensive device management with their solutions. But all bets are off if that application vendor goes out of business and you would like to use your devices with a similar application from a different vendor. Consumers are increasingly faced with unexpected device obsolescence and landfills are starting to fill up with expensive IoT bricks. What consumer IoT needs is a truly open IoT device management ecosystem.

IoT security cannot be an afterthought or an add-on. Security must be built in from the beginning. When it comes to IoT, security requirements are unique. Connecting devices is different from connecting individual people and personal computers. To verify its identity, an IoT device can’t simply enter a password as a person would. Similarly, the systems that run our PCs are regularly updated, but IoT has to work all time. A reliable infrastructure is a must, and this is especially true for mission-critical applications. 3GPP technologies provide this reliability. The IoT expands rapidly, and security must be end-to-end.

Integration of a platform needs to support many types of integration patterns as well as patterns specific to data location such as the cloud, legacy systems, and trading partners. Cellsenal supports a variety of IoT protocols such as MQTT, HTTP, document and Binary producers, REST, SOAP, and AmQP through Rabbit MQ.
The click-not-code bidirectional connectivity means you can connect faster. Validate, transform, aggregate, and route IoT messages in real-time. Visually map your IoT data to the application or data store of your choice.