Internet of Things (IoT) Data Management
The IoT data management topic section offers comprehensive resources for those deploying complex, high-velocity data back ends for Internet of Things products and shops. Learn best practices for data acquisition, management and the day-to-day operations of data centers for the Internet of Things.
New & Notable
New Trend in IoT: Digital Twin Tech
Digital twin tech, or a virtual representation of a product, is a critical concept in IoT that’s still being sorted out. Explore its benefits to IoT, 7 use cases and why it’s important for manufacturing’s future.
Internet of Things (IoT) Data Management News
-
June 08, 2018
08
Jun'18
IoT investment into field management software slow in coming
Data from connected devices can lead to a less service equals more approach to field service management, but some industries are still wary about achieving a return on investment.
-
May 31, 2018
31
May'18
The five biggest takeaways from IoT's biggest show of the year
Splunk's Erick Dean offers his five biggest takeaways from the 'World's Largest Industrial Fair" -- Hannover Messe, from machine data's impact to the need for smart analytics.
-
May 03, 2018
03
May'18
AI-for-IT-operations tools map Vegas systems to Oracle ERP
Mapping IoT activity and other IT data to Oracle ERP is the task Las Vegas set for FixStream's AIOps platform in an effort to quickly find the source of IT problems.
-
May 02, 2018
02
May'18
At OSIsoft PI World, IT/OT convergence a hot topic
Building IoT connectivity with a PI Server across multiple plants to improve analytics and efficiency is a great goal, but achieving it isn't without its challenges, as evidenced at OSIsoft PI World 2018.
Internet of Things (IoT) Data Management Get Started
Bring yourself up to speed with our introductory content
-
IoT and the promise of predictive health
IoT sensors and predictive analytics in the healthcare industry will change people's lives by identifying big picture patterns beyond any one individual's health. Continue Reading
-
AI-driven tools bring practical dimension to IoT in asset maintenance
IoT tech can help those in enterprise asset management get a better grip on data, enabling them to optimize the use of resources and automate processes. Continue Reading
-
Autonomous driving fuels massive data growth of IoT
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 ... Continue Reading
Evaluate Internet of Things (IoT) Data Management Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
-
A sense of place: How IoT sensor data powers smart cities
A smart city is smart because of its data. IoT sensors are key to the smart city data puzzle, explains Geotab's Mike Branch, enabling cities to be more proactive and provide better quality of life ... Continue Reading
-
The reality of IoT edge processing: We're getting warmer
The need for IoT edge processing is real, but we're not quite there yet in terms of deployment. Rocket Wagon Venture Studios' Don DeLoach explains how edge processing and a good data set will ... Continue Reading
-
3 real-world IoT smart contract use cases prove blockchain benefits
Real-world companies are testing IoT smart contracts and finding value in various industries, from entertainment to utilities to advertising. Continue Reading
Manage Internet of Things (IoT) Data Management
Learn to apply best practices and optimize your operations.
-
When cars own the road: The future of IoT and connected vehicles
As it stands now, automakers have an opportunity to save money and build new revenue streams by pulling vast troves of data from connected vehicles through Message Queuing Telemetry Transport and ... Continue Reading
-
IoT, 5G and the need for smart streaming
Data architecture must keep up with the changes that new technologies -- including 5G and IoT -- bring to the edge. Dheeraj Remella explains how smart streaming is essential for data processing. Continue Reading
-
IoT data management requires mission-critical edge processing
To get the most out of edge data, IT pros must know how to use machine learning algorithms to designate data to real-time or traditional cloud processes. Continue Reading
Problem Solve Internet of Things (IoT) Data Management Issues
We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.
-
Solve real-time analytics challenges across operational and data lake data
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 ... Continue Reading
-
The realities of enterprise data lakes: The hype is over
For the last decade, we have seen an interest expand to an obsession: grab the data, store the data, keep the data. The software industry saw an opportunity to capitalize on this obsession, leading ... Continue Reading
-
Limiting bias and inexperience in AI-powered factories of the future
Bias and inexperience can greatly limit the success of AI-powered factories. Petuum's Saranyan Vigraham outlines why and offers tips to reach the full potential of industrial AI systems. Continue Reading