IoT’s Impact on Data Warehousing: Defining IoT in Terms of Its Data Requirements. Por TDWI.org - Seguridad Mania.com - España y América Latina

The Internet of Things (IoT) is a computing paradigm where a widening range of physical devices—including smartphones, vehicles, shipping pallets, kitchen appliances, manufacturing robots, and anything fitted with a sensor—can transmit data about their location, state, activity, and surroundings. Depending on the device type, some may also receive data and instructions that control device behavior.

The rise of the IoT paradigm is deeply profound because it enables an organization to monitor, measure, and adjust a lengthening list of processes, customers, partners, facilities, and so on with unprecedented levels of detail, accuracy, and speed. When these streams of small events are analyzed against patterns of expected behavior and historical context, deep insights into business operations can be made visible.

Achieving these insights, however, requires a considerable investment in information technology, with a focus on fully modern data management infrastructure. More than simply capturing and storing this data for later analysis, it is increasingly critical to consider how IoT data, combined with real-time analytics, can be operationalized to give organizations valuable strategic information and tactical advantage in real time.

Attend this webinar to learn about:

-Defining the Internet of Things (IoT) in terms of its data requirements

-Common enabling technologies and best practices for IoT data

-Data-driven use cases for IoT already prominent in certain industries and company profiles