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A Comparative Analysis: AWS Kinesis vs Amazon Managed Streaming for Kafka - MSK

Dzone - DevOps

Whether it's for tracking user activity on a website, monitoring IoT devices, or handling transactional data, real-time streaming services like Kinesis and Kafka enable businesses to stay ahead of the curve by leveraging the power of instant data analytics.

Analysis 105
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Exploring IoT Integration With Wearable Devices From a Software Development Angle

Dzone - DevOps

In the vanguard of the ever-evolving digital world, the rapid increase of wearable contrivances and the expanding realm of the Internet of Things (IoT) have firmly gripped the world's technological spotlight. The information collected is then transmitted to other devices, networks, or cloud platforms for thorough examination and analysis.

IoT 75
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MQTT With Kafka: Supercharging IoT Data Integration

Dzone - DevOps

Kafka and MQTT are complementary technologies that enable end-to-end integration of IoT data. By integrating Kafka and MQTT, businesses can establish a robust IoT architecture that guarantees reliable connectivity and efficient data exchange between devices and IoT platforms.

IoT 52
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How is Digital Technology Transforming the Accessibility of Mental Health Services and Therapy?

OTS Solutions

With the emergence of AI, ML, DevOps, AR VR cloud computing, the Internet of Things (IoT), data analytics, digital transformation, application modernization, and other digital technologies, IT practice in mental health therapy is undergoing significant changes. million IoT 2028 $293.10 billion AI and ML 2032 $22,384.27

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Data Integration in IoT (Internet of Things) Environments: Enhancing Connectivity and Insights

Dzone - DevOps

In the dynamic world of the Internet of Things (IoT), data integration plays a crucial role in harnessing the full potential of connected devices. This blog will explore the significance of data integration in IoT environments, its techniques, benefits, and future trends.

IoT 40
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MLOps: Methods and Tools of DevOps for Machine Learning

Altexsoft

It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps. MLOps vs DevOps.

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Splunk.conf 2018: The Top 7 Sessions You Can’t Miss

OverOps

That’s why we went over the complete itinerary, and brought you 7 sessions we plan to attend: State of DevOps – Expert Panel. The Do’s and Don’ts That Every IoT Project Should Be Built On. What Is Your DevOps Team Actually Doing? State of DevOps – Expert Panel. What Is Your DevOps Team Actually Doing?