Internet of Things (IoT) Data Storage
Where data is stored affects both distribution and connectivity. By keeping data in the right type of storage with dedicated private lines, organizations can improve both performance and security.
Energy efficiency is a critical component to a retailer's everyday operations, and IoT sensors and data can help them save on energy consumption and costs.
As data floods in from IoT devices and applications move to the cloud, organizations should consider separating storage from compute with the NVMe/TCP standard.
All data must play a role in organizations hoping to keep a competitive edge with an IoT deployment. Vertica's Joy King explains how unstructured data will seem small compared to IoT data used for ...
Some IoT data is left to sit in data lakes, undermining performance. Co-Founder and CEO of Dremio, Tomer Shiran, discusses how organizations can migrate this unused data into analytics tools.
Data presents the greatest value in IoT, but also one of its biggest challenges. InfluxData's David Simmons discusses how to design with data in mind and manage the data deluge.
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.