#iot

Apache Cassandra is a rock-solid choice for managing IoT and time series data at scale. The most popular use case of storing, querying and analyzing time series generated by IoT devices in Cassandra is well-understood and documented. In general, a time series is stored and queried based on its source IoT device. However, there exists another class of IoT applications that require quick access to the most recent data generated by a collection of IoT devices based on a known state. The question that such applications need to answer is: Which IoT devices or sensors are currently reporting a specific state? In this blog post, we focus on this question and provide five possible data modeling solutions to efficiently answer it in Cassandra.

The future of IoT is trending toward large-scale growth over the next several years. However, 2021 has the potential to be a pivotal year for the IoT Market as it aims to tackle major global social and economic issues associated with the pandemic. In this article, we’ll take a closer look at the economic and social factors shaping the Internet of Things market.

Join Mike Milinkovic, Executive Director of the Eclipse Foundation, as he shares his thoughts about the future of open source in 2021 and beyond. He covers cloud native Java and Jakarta EE, IoT and edge computing, and automotive software. It looks set to be another big year for open source…

When there is a security flaw in an Internet of Things system, thousands of devices can be vulnerable. We spoke to Christoph Engelbert who shared tips on how to secure IoT systems both on the hardware and the software side—and why it can be incredibly helpful to ask hacker groups for assistance.

If a streaming application starts to lag behind in processing data in real-time, then the root cause may be hard to find manually in the complex application and infrastructure stack. Learn more in this article by Shivnath Babu, co-founder/CTO at Unravel Data Systems, and Adjunct Professor of Computer Science at Duke University.

In this article, explore how a combination of artificial intelligence and machine learning can act as the brains of a smart city while simultaneously considering how a smart city experience can become more personalized without compromising the privacy of its residents. Read on to see what the advantages and disadvantages of an ML and AI-powered smart city are.

Every Monday, we take a step back and look at all the cool stuff that went down during the previous week. Last week we featured a look at ways in which Java is staying young, such as with frameworks like Quarkus, Sourcetrail was open sourced, we looked at edge architecture and its impact on IoT and much more. Let’s take a closer look.

Is cloud computing getting “Edged” out? Edge computing is becoming a viable reality since the cost of IoT hardware and sensors is dropping and devices continue to get smarter (and smaller). With new connectivity technologies such as 5G on their way, edge architectures will lay the foundation for a faster, more efficient Internet of Things.

IoT devices can be a weak leak and expose data to hackers. Businesses should be aware of the risks that can occur if attackers get their hands on data, and keep up with security updates and testing. How can hackers compromise sensor-generated data, and what are the best practices for IoT device security?

IoT has been growing exponentially over the past couple of years. But the problem with this growth is that IoT devices generate a colossal amount of data. This is where cloud computing comes in to provide storage space.

The Internet of Things is affecting a variety of industries across the world in a number of creative ways. Now that it isn’t just computers connected to the Internet, a world of opportunity has opened up, ranging from agricultural usage, energy industries, and financial planning.

AI is integrating into all aspects of our lives, even into our home. As home automation tools are becoming more and more affordable, the smart home is no longer just for the rich. What does the future of home automation hold and how can smart homes save you money and energy consumption?

HiveMQ is a “reliable data movement for connected devices” that helps bring a solution to the data that IoT applications generate. The newly announced version 4.2 introduces a new backup and restoration feature for the Professional and Enterprise Edition, as well as a few improvements added to the open source edition.

IoT is a diligent technology that has totally transformed our daily lives. But how has the technology affected web developers? In this article, we attempt to understand the impact of IoT on the web development landscape.