Remove Data Analytics Remove Data Processing Remove IoT
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IoT And Cloud Integration is the Future!

Smart Data Collective

From smart homes to wearables, cars to refrigerators, the Internet of Things (IoT) has successfully penetrated every facet of our lives. The market for the Internet of Things (IoT) has exploded in recent years. Cloud computing offers unparalleled resources, scalability, and flexibility, making it the backbone of the IoT revolution.

IoT 128
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5 reasons the enterprise data center will never die

CIO Business Intelligence

In addition, as security concerns increase, as data privacy regulations tighten, and requirements for control and visibility grow, enterprises are realizing that some applications should remain in the data center. The Uptime Institute reports that in 2020, 58% of enterprise IT workloads were hosted in corporate data centers.

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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 107
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The DataOps Vendor Landscape, 2021

DataKitchen

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Testing 300
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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. IoT and its applications. Transportation and Logistics.

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Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data analytics: solutions to the industry challenges. Big data storage.

Big Data 101
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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Now get ready as we embark on the second part of this series, where we focus on the AI applications with Kinesis Data Streams in three scenarios: real-time generative business intelligence (BI), real-time recommendation systems, and Internet of Things (IoT) data streaming and inferencing.

IoT 111