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Use Golang for Data Processing With Amazon Kinesis and AWS Lambda

Dzone - DevOps

This blog post is for folks interested in learning how to use Golang and AWS Lambda to build a serverless solution. You will be using the aws-lambda-go library along with the AWS Go SDK v2 for an application that will process records from an Amazon Kinesis data stream and store them in a DynamoDB table. But that's not all!

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Organize and Process IoT Data Quickly Using AWS IoT Analytics

Cloud That

IoT device use has recently increased in applications such as agriculture, smartwatches, smart buildings, IoT retail shops, object tracking, and many more. Because IoT data is generally unorganized and difficult to evaluate, experts must first format it before beginning the analytics process. About CloudThat. Introduction.

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

CIO

Serverless data integration solutions leverage cloud-based services, such as AWS Lambda, Google Cloud Functions, or Azure Functions, to execute data integration tasks on demand without needing dedicated servers or resource provisioning. According to a report by Statista , the global IoT market size is projected to surpass $1.6

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Use EventBridge to handle API requests

Xebia

Because you do not need to invoke a Lambda function to handle the request. The response to the user is faster and you do not need to pay for the Lambda invocation. For example, the serverless-coffee project used IOT Core. With IOT Core you can notify the end-user with status updates.

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Review of Industrial IoT Solutions – Part I

Perficient

The basic flow of data can be summarize like so: Events are emitted by IoT devices over OPC-UA or MQTT to a local broker. Industrial IoT (IIoT) solution overview diagram. The second, more modern option is MQTT, now available on most IoT devices and certain industrial equipments. Azure IoT Edge – Source: Azure.

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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning - AI

The WebSocket triggers an AWS Lambda function, which creates a record in Amazon DynamoDB. Another Lambda function gets triggered with a new message in the SQS queue. The Lambda function reads the job ID and invokes an AWS Step Functions workflow for processing data files. The response data is stored in DynamoDB.

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Lambda@Edge: Why Less is More

Stackery

Lambda@Edge is a compute service that allows you to write JavaScript code that executes in any of the 150+ AWS edge locations making up the Amazon CloudFront content delivery network (CDN) service. Lambda@Edge has some design limitations: Node.JS Lambda@Edge has some design limitations: Node.JS Lambda@Edge.

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