Remove Apache Kafka Remove Blog Remove Clustering
article thumbnail

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.

article thumbnail

Apache Kafka use cases: Driving innovation across diverse industries

IBM Journey to AI blog

Apache Kafka is an open-source , distributed streaming platform that allows developers to build real-time, event-driven applications. With Apache Kafka, developers can build applications that continuously use streaming data records and deliver real-time experiences to users. How does Apache Kafka work?

professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Streaming Machine Learning Without a Data Lake

ODSC - Open Data Science

Be sure to check out his talk, “ Apache Kafka for Real-Time Machine Learning Without a Data Lake ,” there! The combination of data streaming and machine learning (ML) enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache Kafka ecosystem.

article thumbnail

Level up your Kafka applications with schemas

IBM Journey to AI blog

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. Apache Kafka transfers data without validating the information in the messages. Learn more about Kafka and its use cases here. What is a schema registry?

article thumbnail

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

AWS Machine Learning Blog

For the time being, we use Amazon EKS to offload the management overhead to AWS, but we could easily deploy on a standard Kubernetes cluster if needed. The resources in the Kubernetes cluster are deployed in a private subnet. It is backed by Amazon Managed Streaming for Apache Kafka (Amazon MSK) (8).

article thumbnail

Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

In the next sections of this blog, we will delve deeper into the technical aspects of Distributed Systems in Big Data Engineering, showcasing code snippets to illustrate how these systems work in practice. Clusters : Clusters are groups of interconnected nodes that work together to process and store data.

Big Data 195
article thumbnail

The winning combination for real-time insights: Messaging and event-driven architecture

IBM Journey to AI blog

However, IBM MQ and Apache Kafka can sometimes be viewed as competitors, taking each other on in terms of speed, availability, cost and skills. MQ and Apache Kafka: Teammates Simply put, they are different technologies with different strengths, albeit often perceived to be quite similar. Interested in learning more?