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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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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.

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What Are AI Credits and How Can Data Scientists Use Them?

ODSC - Open Data Science

Confluent Confluent provides a robust data streaming platform built around Apache Kafka. Microsoft Azure Azure supports AI development through tools like Azure ML Studio, virtual machines, and Azure OpenAI integration.

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11 Open-Source Data Engineering Tools Every Pro Should Use

ODSC - Open Data Science

Apache Kafka For data engineers dealing with real-time data, Apache Kafka is a game-changer. Spark offers a versatile range of functionalities, from batch processing to stream processing, making it a comprehensive solution for complex data challenges.

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Pictures and Highlights from ODSC Europe 2023

ODSC - Open Data Science

On Wednesday, Henk Boelman, Senior Cloud Advocate at Microsoft, spoke about the current landscape of Microsoft Azure, as well as some interesting use cases and recent developments. Keynotes Our main keynote sessions were held on the virtual side of the conference. You can read the recap here and watch the full keynote here.

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What is Data Ingestion? Understanding the Basics

Pickl AI

Apache Kafka An open-source platform designed for real-time data streaming. Popular options include Apache Kafka for real-time streaming, Apache Spark for batch and stream processing, Talend for ETL, and cloud-based solutions like AWS Glue, Azure Data Factory, and Google Cloud Dataflow.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.