Industrial Internet Application Development
by Alena Traukina, Jayant Thomas, Prashant Tyagi, Veera Kishore Reddipalli
IoT data types
Because data is the basis of extracting knowledge, it is vital to have high quality information. This condition can affect the accuracy of knowledge extraction in a direct manner. Since the IoT produces high volume, fast velocity, and varieties of data, preserving data quality is a hard and challenging task. Although many solutions have been and are being introduced to solve these problems, none of them can handle all aspects of data characteristics in an accurate manner because of the distributed nature of big data management solutions and real-time processing platforms. The abstraction of IoT data is low, that is, the data that comes from different resources in the IoT are mostly of raw data and not sufficient enough for ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access