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

AWS Machine Learning Blog

Solution overview: Build a generative AI stock price analyzer with RAG For this post, we implement a RAG architecture with Amazon Bedrock Knowledge Bases using a custom connector and topics built with Amazon Managed Streaming for Apache Kafka (Amazon MSK) for a user who may be interested to understand stock price trends.

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Real-Time Sentiment Analysis with Kafka and PySpark

Towards AI

Within this article, we will explore the significance of these pipelines and utilise robust tools such as Apache Kafka and Spark to manage vast streams of data efficiently. Apache Kafka Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications.

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Building the future of construction analytics: CONXAI’s AI inference on Amazon EKS

AWS Machine Learning Blog

It is backed by Amazon Managed Streaming for Apache Kafka (Amazon MSK) (8). The transformer gets a CloudEvent with the reference of the image Amazon S3 path, downloads it, and performs model inference over HTTP. The resources in the Kubernetes cluster are deployed in a private subnet.

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How to Unlock Real-Time Analytics with Snowflake?

phData

How Snowflake Helps Achieve Real-Time Analytics Snowflake is the ideal platform to achieve real-time analytics for several reasons, but two of the biggest are its ability to manage concurrency due to the multi-cluster architecture of Snowflake and its robust connections to 3rd party tools like Kafka. Looking for additional help?

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Transitioning off Amazon Lookout for Metrics 

AWS Machine Learning Blog

Customers can use the CloudFormation template to bring up an application stack that receives time-series data from an Amazon Managed Streaming for Apache Kafka (Amazon MSK) streaming source and performs near-real-time anomaly detection in the streaming data. How can I export anomalies data before deleting the resources?

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What is a Hadoop Cluster?

Pickl AI

Download and extract the Apache Hadoop distribution on all nodes. The open-source software is also free to download and use. Although tools like Apache Kafka and Apache Spark can integrate with Hadoop for real-time processing, managing these additional components can add complexity to the architecture.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

For example, before any video streaming services, users had to wait for videos or audio to get downloaded. There are a number of tools that can help with streaming data collection and processing, some popular ones include: Apache Kafka : An open-source, distributed event streaming platform that can handle millions of events per second.