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Stream ingest data from Kafka to Amazon Bedrock Knowledge Bases using custom connectors

AWS Machine Learning Blog

With custom data connectors, you can quickly ingest specific documents from custom data sources without requiring a full sync and ingest streaming data without the need for intermediary storage. Configure the architecture To try this architecture, deploy the AWS CloudFormation template from this GitHub repository in your AWS account.

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Hybrid Vs. Multi-Cloud: 5 Key Comparisons in Kafka Architectures

Smart Data Collective

You can safely use an Apache Kafka cluster for seamless data movement from the on-premise hardware solution to the data lake using various cloud services like Amazon’s S3 and others. 5 Key Comparisons in Different Apache Kafka Architectures. 5 Key Comparisons in Different Apache Kafka Architectures.

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Enhanced diagnostics flow with LLM and Amazon Bedrock agent integration

Flipboard

In the following section, we dive deep into these steps and the AWS services used. They needed a solution that could support rapid expansion, handle high data volumes, and deliver consistent performance across AWS Regions. About the Authors Ray Wang is a Senior Solutions Architect at AWS.

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Real-time fraud detection using AWS serverless and machine learning services

AWS Machine Learning Blog

The same architecture applies if you use Amazon Managed Streaming for Apache Kafka (Amazon MSK) as a data streaming service. During claims processing, you collect all the claims documents and then run them through a fraud detection system. Example use cases for this could be payment processing or high-volume account creation.

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Unlock the knowledge in your Slack workspace with Slack connector for Amazon Q Business

AWS Machine Learning Blog

Amazon Q Business offers over 40 built-in connectors to popular enterprise applications and document repositories, including Amazon Simple Storage Service (Amazon S3) , Salesforce, Google Drive, Microsoft 365, ServiceNow, Gmail, Slack, Atlassian, and Zendesk and can help you create your generative AI solution with minimal configuration.

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

The service, which was launched in March 2021, predates several popular AWS offerings that have anomaly detection, such as Amazon OpenSearch , Amazon CloudWatch , AWS Glue Data Quality , Amazon Redshift ML , and Amazon QuickSight. To learn more, see the documentation. To learn more, see the documentation.

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Top Big Data Tools Every Data Professional Should Know

Pickl AI

Evaluate Community Support and Documentation A strong community around a tool often indicates reliability and ongoing development. Evaluate the availability of resources such as documentation, tutorials, forums, and user communities that can assist you in troubleshooting issues or learning how to maximize tool functionality.