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

AWS Big 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). From here, the metadata is published to Amazon DataZone by using AWS Glue Data Catalog.

IoT 109
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7 data trends on our radar

O'Reilly on Data

This is also reflected by the emergence of tools that are specific to machine learning, including data science platforms, data lineage, metadata management and analysis, data governance, and model lifecycle management. Burgeoning IoT technologies.

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Data confidence begins at the edge

CIO Business Intelligence

Data-driven insights are only as good as your data Imagine that each source of data in your organization—from spreadsheets to internet of things (IoT) sensor feeds—is a delegate set to attend a conference that will decide the future of your organization.

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Navigating the data management maze: How emerging tech and modern solutions are revolutionizing mainframe-to-cloud integration

CIO Business Intelligence

Technologies such as AI, cloud computing, and the Internet of Things (IoT), require the right infrastructure to support moving data securely across environments. IT teams need to capture metadata to know where their data comes from, allowing them to map out its lineage and flow.

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Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum

AWS Big Data

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements.

Analytics 117
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Visualize Amazon DynamoDB insights in Amazon QuickSight using the Amazon Athena DynamoDB connector and AWS Glue

AWS Big Data

These include internet-scale web and mobile applications, low-latency metadata stores, high-traffic retail websites, Internet of Things (IoT) and time series data, online gaming, and more. Table metadata, such as column names and data types, is stored using the AWS Glue Data Catalog. Choose Next.

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Architectural patterns for real-time analytics using Amazon Kinesis Data Streams, part 1

AWS Big Data

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 134