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.

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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.

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Internet of Things (IoT) Data Management News

September 20, 2019 20 Sep'19
Swim DataFabric platform helps to understand edge streaming data

Swim released its new Swim DataFabric, which integrates with Microsoft Azure to help users organize and gain insights from streaming data sources.
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.

Internet of Things (IoT) Data Management Get Started

Bring yourself up to speed with our introductory content

5 steps to select the best IoT database

Organizations should begin their search for the right IoT database by understanding their data, functional requirements and how the database will fit into their business strategy. Continue Reading
TinyML accelerates the shift to modern edge data management

TinyML can help target low power IoT applications and determine when to power up or power down more complex, power hungry devices. Continue Reading
Understand IoT data management essentials

The flood of data from IoT devices requires careful planning of infrastructure and data management, and current processes might not be up to the task. Continue Reading

Evaluate Internet of Things (IoT) Data Management Vendors & Products

Weigh the pros and cons of technologies, products and projects you are considering.

Organizations seek digital experiences with IoT, AI and machine learning

As companies dive into IoT, AI and machine learning, they must factor it into their digital experience planning from the beginning to derive the full benefit these powerful technologies provide. Continue Reading
Updating video surveillance infrastructure for IoT connectivity

If done correctly, creating an entirely cloud-based video surveillance ecosystem can help create a platform for a highly intelligent set of IoT services. Continue Reading
How to select the right IoT database architecture

To choose the best database architecture for an organization's IoT initiative, IoT technologists must understand the basics of all the database options. Continue Reading

Manage Internet of Things (IoT) Data Management

Learn to apply best practices and optimize your operations.

Why IIoT projects require IIoT-specific databases

It's common for organizations to use specific, targeted and tactical database tools for specific use cases. For IIoT deployments, utilizing an IIoT-specific database solution is essential to success. Continue Reading
5 benefits of geospatial visualization when analyzing IoT data

Harnessing the power of geospatial data in IoT enables businesses to unlock a wealth of insights to inform decisions that put them ahead of the curve. Continue Reading
IoT, AI and 83 problems, part 2: Context is key

Once an organization has solved the technical problem of gathering data, the next priority is ensuring the relationships between data and the underlying physical world are not lost. 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.

IoT, AI and 83 problems

IoT and AI can offer a solution to the 80/20 dilemma in software, but companies must be willing to understand the context of IoT data and instill processes to better utilize their time and effort. Continue Reading
In data privacy we trust: Solving the connected cities conundrum

Data providers need to be smart about data governance when it comes to creating smart cities that ensure security and privacy are not sacrificed for the sake of convenience and opportunistic ... Continue Reading
How to ensure RPA delivers

Businesses that choose the wrong brand of RPA can limit the scale and potential of automation. To realize RPA's benefits, such as greater accuracy and productivity, they must consider are few key ... Continue Reading