Internet of Things (IoT) Data Storage
Waves of data can make real-time analysis difficult, but in-memory computing, explains GridGain Systems' Nikita Ivanov, can drive business processes with real-time insights into live and historical ...
Smart city growth will soon outpace city planners' ability to protect them. Cloud-to-flash technology, advises Nanolock Security's Yoni Kahana, helps build cities as safe as they are smart.
Using a time series database, says TimescaleDB's Ajay Kulkarni, IoT organizations can garner insights from connected data to build new features, automate processes and drive efficiency.
The exponential growth of IoT devices and the data they create is presenting a major challenge for database management. InfluxData's David Simmons explains how a time series database can help.
Blockchain doesn't inherently represent the state of the world. It takes IoT, says Red Hat's Gordon Haff, to represent physical objects more completely, automatically, timely and resistant to ...
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.