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Optimize industrial IoT analytics with Amazon Data Firehose and Amazon S3 Tables with Apache Iceberg

AWS Big Data

Additionally, AWS IoT Greengrass supports VPC endpoints , and you can securely communicate between the edge gateway (hosted on premises) and AWS. For S3 Tables integration, refer to Build a data lake for streaming data with Amazon S3 Tables and Amazon Data Firehose. For more details, refer to Create deployments.

IoT
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Amazon OpenSearch Service 101: Create your first search application with OpenSearch

AWS Big Data

Industrial Internet of Things (IoT) sensors stream millions of temperature, pressure, and performance metrics from field equipment every second. For an exhaustive list, refer to Search features. Organizations today face the challenge of managing and deriving insights from an ever-expanding universe of data in real time.

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Top 10 IT & Technology Buzzwords You Won’t Be Able To Avoid In 2020

datapine

AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. While IoT was a prominent feature of buzzwords 2019, the rapid advancement and adoption of the internet of things is a trend you cannot afford to ignore in 2020.

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Ingest and analyze your data using Amazon OpenSearch Service with Amazon OpenSearch Ingestion

AWS Big Data

Whether it’s customer information, sales records, or sensor data from Internet of Things (IoT) devices, the importance of handling and storing data at scale with ease of use is paramount. For instructions, refer to Creating and managing Amazon OpenSearch Service domains. You must have created an OpenSearch Service domain.

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Public cloud use cases: 10 ways organizations are leveraging public cloud

IBM Big Data Hub

Multi-tenant hosting allows cloud service providers to maximize utilization of their data centers and infrastructure resources to offer services at much lower costs than a company-owned, on-premises data center. Software-as-a-Service (SaaS) is on-demand access to ready-to-use, cloud-hosted application software.

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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
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Optimize write throughput for Amazon Kinesis Data Streams

AWS Big Data

Whether your data streaming application is collecting clickstream data from a web application or recording telemetry data from billions of Internet of Things (IoT) devices, streaming applications are highly susceptible to a varying amount of data ingestion. For instance, assume you have a stream with 100 shards.