Remove Data Quality Remove Internet of Things Remove IoT
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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. Recently, EUROGATE has developed a digital twin for its container terminal Hamburg (CTH), generating millions of data points every second from Internet of Things (IoT)devices attached to its container handling equipment (CHE).

IoT 111
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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

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The 6 Layers of an IoT Solution

CDW Research Hub

Your first thought about the Internet of Things (IoT) might be of a “smart” device or sensor. However, building an IoT solution requires thought into six distinct layers, each with its own considerations and security implications. So, what are the six layers of IoT? Layer 1: IoT devices.

IoT 89
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From data lakes to insights: dbt adapter for Amazon Athena now supported in dbt Cloud

AWS Big Data

Event-driven data transformations – In scenarios where organizations need to process data in near real time, such as for streaming event logs or Internet of Things (IoT) data, you can integrate the adapter into an event-driven architecture.

Data Lake 103
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10 Risks of IoT Data Management

TDAN

What Is IoT Data Management? IoT data management refers to the process of collecting, storing, processing, and analyzing the massive amounts of data generated by Internet of Things (IoT) devices.

IoT 52
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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

According to a recent report by InformationWeek , enterprises with a strong AI strategy are 3 times more likely to report above-average data integration success. Additionally, a study by McKinsey found that organisations leveraging AI in data integration can achieve an average improvement of 20% in data quality.

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IoT Data Management: 10 Key Considerations

TDAN

IoT data management includes the practices, technologies, and policies involved in managing data generated by IoT devices. Management tasks include the collection, storage, analysis, and sharing of data across various platforms and systems.

IoT 52