Internet of Things (IoT) Data Storage
Industrial IoT requires new methods of real-time data management and analysis. However, there are many misconceptions about it. Crate.io's Christian Lutz lists four IIoT misconceptions, and the ...
Nearly 99% of all IoT data collected is wasted – but why? HarperDB's Stephen Goldberg explains why the data management industry must transform to solve the problem.
Surveillance isn't just about security any longer, says Western Digital's Chris Bergey, it's about extracting value and intelligence, making smart video a reality.
Striim CTO Steve Wilkes discusses the three primary challenges of IoT data management and the importance of a streaming-first architecture.
The number of IoT devices being added to networks if the stat most talked about, but it's the network planning aspect of IoT that should conjure discussions.
Legacy distribution patterns aren't always a great fit for IoT systems. IoT data introduces a new distribution pattern your organization needs to accommodate.
If you're going to collect IoT data, you need to collect it somewhere. This is where database systems come into play.
With data engineering, the agility and accuracy of your IoT data can grow over time -- along with the business value, says Infostretch's Manish Mistry.
Before extracting value and intelligence from IoT data, companies must understand the difference between content and context relating to an IIoT environment.
As IoT data moves to the cloud, security is paramount. Utimaco's Malte Pollmann explains why a hardware security module may be the safeguard IoT needs.
Machine learning's promise of improving asset management is what keeps the spark going, says Saviant Consulting's Yatish Patil.
Creating a reliable, available and secure future-proof network ready to cope with unpredictable data demand is non-negotiable, says Ciena's Rob Tomkins.
The cloud can't process data quickly enough for IoT applications. OIES Consulting's Francisco Maroto discusses how fog/edge is stepping up to the plate.
Data lakes combined with the proper analytics technology are well suited for IoT implementation. Red Hat chief architect James Kirkland explains why.
Make sure IoT software development efforts stay focused on the user throughout the process, and across the software stack.