Information Technology Broadcasting - اطلاع‌رسانی فناوری اطلاعات
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Information Technology, Cloud computing, Digital transformation, IoT, Edge computing, IT governance, Fog computing, IT security, IT regulation, IT trends, Programming، Big data, Monitoring, Databases, Api, Service
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API data integration helps in seamless communication between different digital tools. Applications like CRMs, eCommerce platforms, and marketing automation systems use APIs to easily sync and share data in real time.
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Amazon CloudFront
Securely deliver content with low latency and high transfer speeds

How it works:
Amazon CloudFront is a content delivery network (CDN) service built for high performance, security, and developer convenience.
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real-time data is immediately accessible once it is created or obtained and is forwarded to users as soon as it is collected.
What Is Telemetry Data


Telemetry is a type of automated data collection process that involves measuring and collecting data from remote or inaccessible points and transmitting this information to an IT system for monitoring, analysis, and decision-making.
What Is Real-Time Data Streaming?


Real-time data streaming is a technology that enables the collection and processing of data from multiple data sources in real time to derive insights and meaning from it.
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Streaming data architecture is a set of software components that are designed to process and manage real-time stream data from various sources.
Telemetry data in healthcare:

👍It helps continuously monitor a patient’s vital signs, like heart rate and rhythm.
👍It provides real-time data that healthcare professionals use to track patients’ health status.
👍Telemetry reduces the need for invasive procedures as data can be collected non-invasively.
👍It supports remote patient monitoring to improve patient comfort and reduce healthcare costs.
👍Telemetry lets healthcare providers respond promptly to changes in a patient's condition, potentially saving lives.
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Telemetry data in agriculture:

👍Telemetry alerts farmers to any changes in farm conditions that can harm the crops, such as soil moisture, temperature, and nutrient levels.
👍It enables farmers to monitor important aspects of their machinery, such as machine position, fuel consumption, speed, working time, and capacity.
👍It helps in sustainable farming practices and provides data that shows that crops have been grown under suitable conditions.
👍It provides data that optimizes planting, watering, and harvesting schedules. This enhances efficiency and reduces costs