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IoT

DataOps for Industrial IoT

The growth in IoT data collection and processing underscores the need for comprehensive data management strategies. The average enterprise today has deployed – and collects data from – nearly 4,000 IoT endpoints. And these organizations expect a 65% increase in the number of connected IoT endpoints over the next two years. Hear from 451 Research (part of S&P Global Market Intelligence) and Hitachi Vantara to assess the business impact of edge computing and IIoT on data management.

Snowflake, the Swiss Army Knife of Data for inReality

inReality provides an analytics platform that leverages IoT sensor data (for example, visual technologies) to bring operational excellence and exceptional customer experiences to all types of venues. The company’s clients range from public schools to major telecommunication companies with the goal being to make their spaces more secure and efficient, to solve problems, and to create better experiences for their patrons.

How Log Management Underpins The Internet of Things (IoT)

The Internet of Things (IoT) is a term for the ever growing number of internet connected devices that fall beyond the realm of your typical laptop, desktop computer or smartphone. Many of us already own and use IoT devices on a daily basis, these could be anything from "smart" versions of appliances like refrigerators, thermostats and coffee machines through to your expected IoT devices such as Amazon’s Alexa & Google’s home speakers.

The Future Of The Telco Industry And Impact Of 5G & IoT - Part 1

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing. This is opening up new revenue opportunities, use cases, and even the possibility for different types of business models within the sector, changing the way that CSPs operate.

The Future Of The Telco Industry And Impact Of 5G & IoT - Part 3

In the final installment in the series, Vijay Raja, Director of Industry & Solutions Marketing at Cloudera shares his views on how the telecom sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, how are ML and IoT influencing the Telecom sector, and how is Cloudera supporting this industry evolution?

The Future Of The Telco Industry And Impact Of 5G & IoT - Part II

In part 2 of the series focusing on the impact of evolving technology on the telecom industry, we sat down with Vijay Raja, Director of Industry & Solutions Marketing at Cloudera to get his views on how the sector is changing and where it goes next. Hi Vijay, thank you so much for joining us again. To continue where we left off, as industry players continue to shift toward a more 5G centric network, how is 5G impacting the industry from a data perspective?

The Future Of The Telco Industry And Impact Of 5G & IoT - Part 1

Communication Service Providers (CSPs) are in the middle of a data-driven transformation. The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. This is opening up new revenue opportunities, use cases and even the possibility for different types of business models within the sector, changing the way that CSPs operate.

How to Use Kong Gateway With K3s For IoT and Edge Computing on Kubernetes

Once upon a time, we had these giant structures where thousands of people would congregate to share ideas, pamphlets filled to the margins with buzz words and cheap, branded t-shirts. Yep, tech conferences – oh what a relic of the past that I miss. It used to be part of my job to attend these.

5 Challenges of Building Data Applications

Fast-growing software companies are building data applications for a variety of uses, from marketing apps that provide customer insights, to IoT apps that handle device feedback, and data analytics apps that process both historical and near real-time data. But developers often face obstacles when building, designing, and supporting applications that need to parse large volumes of information.