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

AWS Machine Learning Blog

Retrieval Augmented Generation (RAG) enhances AI responses by combining the generative AI models capabilities with information from external data sources, rather than relying solely on the models built-in knowledge. The solution enables real-time analysis of customer feedback through vector embeddings and large language models (LLMs).

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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?

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Big data engineering simplified: Exploring roles of distributed systems

Data Science Dojo

This data, often referred to as Big Data , encompasses information from various sources, including social media interactions, online transactions, sensor data, and more. Internet of Things (IoT) Data Processing: Stream processing is vital for handling continuous data streams from IoT devices, enabling real-time monitoring and control.

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A Simple Guide to Real-Time Data Ingestion

Pickl AI

Real-time data ingestion is the practise of gathering and analysing information as it is produced, without little to no lag between the emergence of the data and its accessibility for analysis. Traders need up-to-the-second information to make informed decisions. What is Real-Time Data Ingestion?

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A Comprehensive Guide to the main components of Big Data

Pickl AI

This explosive growth of data is driven by various factors, including the proliferation of internet-connected devices, social media interactions, and the increasing digitization of business processes. As organisations collect vast amounts of information from various sources, ensuring data quality becomes critical.

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A Comprehensive Guide to the Main Components of Big Data

Pickl AI

This explosive growth of data is driven by various factors, including the proliferation of internet-connected devices, social media interactions, and the increasing digitization of business processes. As organisations collect vast amounts of information from various sources, ensuring data quality becomes critical.

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Training Models on Streaming Data [Practical Guide]

The MLOps Blog

Streaming data is a continuous flow of information and a foundation of event-driven architecture software model” – RedHat Enterprises around the world are becoming dependent on data more than ever. Thus, a large amount of information can be collected, analysed, and stored. What is streaming data?