Reality is beginning to bite the Internet of Things (IoT). After months of enthusiastic discussion about the opportunities it will provide and how much it will be worth, many of those looking to play in the IoT space are starting to look at the potential problems, including data management. Though everyone knows managing data will be a problem once the IoT is up and running at full scale, few have really considered the potential data storage problems. Topic: Internet of Things.
A recent Gartner Report identifies seven key issues with the Internet of Things (IoT):
1. Security: Many industry-specific security platforms are being developed for specialist areas like industrialized systems, medical equipment, and air and defense sectors and, in many cases, being integrated into the platforms being developed by equipment providers for those industries.
2. Enterprises: There will be significant security challenges from the increasing amount of data with the myriad of devices increasing security complexity.
3. Consumer Privacy: The challenge of securing the personal data of individuals as the consumer goods they use become increasingly digitized.
4. Data: IT administrators that are already tasked with keeping the storage centers running, will also have to figure out how to store, protect and make all the incoming data accessible.
5. Storage Management: Businesses will have weigh up the economics of storage against the value of IoT information.
6. Server Technologies: Some organizations that manage and consume data collected from a huge array of devices will require additional compute capacity and may well increase server budgets if there is a business case for it.
7. Data Centre Network: Existing data center WAN (Wide Area Network) links have been built for moderate-bandwidth requirements created by our current use of technology. However, as the amount of data being transferred is set to increase dramatically, the need for expanded bandwidth grows.
The risk., therefore, is ensuring that real-time business processes are not impacted by the data management overheads of the IoT.