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.

March 01, 2022 01 Mar'22
Cisco updates IoT management, go-to-market private 5G plans

Cisco has updated the IoT Control Center to support low-cost, low-bandwidth IoT. The company also released details for its private 5G go-to-market strategy.
February 15, 2022 15 Feb'22
InfluxData expands time series database capabilities

The open source-based InfluxDB platform is adding capabilities to better handle data coming from industrial sensors and devices that enable organizations to optimize operations.
June 16, 2021 16 Jun'21
Senators push Amazon, Google on connected IoT device market

During a Senate subcommittee antitrust hearing, Amazon and Google claimed to be making their connected IoT devices more interoperable. Others disagreed.
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.

Bring yourself up to speed with our introductory content

data ingestion

Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. Continue Reading
What is fog computing?

Fog computing is a decentralized computing infrastructure in which data, compute, storage and applications are located somewhere between the data source and the cloud. Continue Reading
Structured vs. unstructured data: The key differences

Structured and unstructured data pose unique challenges when it comes to categorizing, defining and storing data. Check out the differences and where semistructured data fits in. Continue Reading

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

IoT data in the cloud and on the edge

With more data generated at the edge, transferring it all to the cloud may not be a feasible option. That's where edge cloud comes in. Continue Reading
Poor data planning causes manufacturers' IIoT projects to fail

Organizations must understand and implement strategies with a data-first focus for industrial IoT to make it past proof-of-concept phase and ensure success. Continue Reading
How businesses can become more resilient and competitive in 2021

Organizations must make themselves future ready and adapt their business plans to take advantage of the seamless access IoT technology provides to crucial business data. Continue Reading

Learn to apply best practices and optimize your operations.

Cybersecurity asset management takes ITAM to the next level

Security pros need to focus on cybersecurity asset management for devices, services and the vendors that can help. Use our checklist to find out how and where to start. Continue Reading
IoT data quality determines project profitability

The insights drawn from IoT data analysis can only improve with better IoT data quality, which data scientists measure with metrics such as accuracy, timeliness and completeness. Continue Reading
Reach business objectives with the right IoT data pipeline

IoT technology creates value from its data. Organizations need the right IoT data pipeline to facilitate the processing that leads to actionable insights and informs business decisions. Continue Reading

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IoT integration challenges require strategy, vendor support

Every organization that implements an IoT deployment must inevitably figure out how to address integration challenges through vendor support and internal expertise. Continue Reading
Overcome IoT application challenges with in-memory computing

With the adoption of IoT continuing to explode, developers should explore the potential of in-memory computing platforms to create a cost-effective, massively scalable foundation for their ... Continue Reading
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