kafka
Here are 22 public repositories matching this topic...
A Series of Notebooks on how to start with Kafka and Python
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Feb 28, 2025 - Jupyter Notebook
Collection of Databricks and Jupyter Notebooks
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Mar 11, 2024 - Jupyter Notebook
Notebooks showing Streams applications written in Python
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Mar 9, 2021 - Jupyter Notebook
存放学习笔记、写过的博客等~
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Jan 3, 2023
Template to quickstart streaming analytics using Apache Kafka for ingestion, QuestDB for time-series storage and analytics, Grafana for near real-time dashboards, and Jupyter Notebook for data science
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May 20, 2025 - Jupyter Notebook
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to…
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Apr 17, 2023 - Jupyter Notebook
My developer notes
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Aug 16, 2024 - CSS
Docker image build from jupyter/scipy-notebook that allows the developer to use python kafka modules in python notebooks.
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Dec 12, 2019 - Dockerfile
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Aug 28, 2022 - Scala
AI course Notebooks and Exercises
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Jun 16, 2025 - Jupyter Notebook
Jupyter notebooks for filtering Kafka data with Spark Streaming.
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Nov 15, 2021 - HTML
A repo for Jupyter notebook sharing using kafka pipelines.
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May 17, 2023 - Python
Exploring Spark Structured Streaming features by making use of Jupiter notebooks, Pyspark and interacting with a Kafka cluster.
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Nov 2, 2023
Juypiter Notebooks to demonstrate the Lambda Architecture with Kafka Streams and Apache Spark
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Oct 2, 2019 - Jupyter Notebook
This repository contains Jupyter Notebooks related to fraud detection, data streaming, and real-time data visualization. These notebooks cover various aspects of processing, analyzing, and modeling data to address fraudulent transactions in eCommerce and other contexts.
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Mar 7, 2025 - Jupyter Notebook
This notebook showcases a complete machine learning workflow—from data preprocessing to model evaluation—for a binary classification task. It includes key techniques like feature scaling, handling class imbalance, and threshold tuning to improve prediction accuracy.
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Jul 3, 2025 - Jupyter Notebook
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