A Series of Notebooks on how to start with Kafka and Python

Collection of Databricks and Jupyter Notebooks

Notebooks showing Streams applications written in Python

存放学习笔记、写过的博客等~

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…

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

Apache Spark notebook to perform ETL processes on OpenMRS data

Личная база знаний

Docker image build from jupyter/scipy-notebook that allows the developer to use python kafka modules in python notebooks.

[assignment] kafka with spark notebook

My developer notes

Jupyter notebooks for filtering Kafka data with Spark Streaming.

A repo for Jupyter notebook sharing using kafka pipelines.

Exploring Spark Structured Streaming features by making use of Jupiter notebooks, Pyspark and interacting with a Kafka cluster.

Juypiter Notebooks to demonstrate the Lambda Architecture with Kafka Streams and Apache Spark

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.

End-to-End, Real-time, Advanced Analytics Big Data Reference Pipeline using Spark, Spark SQL, Spark ML, GraphX, Spark Streaming, Kafka, NiFi, Cassandra, ElasticSearch, Redis, Tachyon, HDFS, Zeppelin, iPython/Jupyter Notebook, Tableau, Twitter Algebird. See https://github.com/fluxcapacitor/pipeline/wiki for Setup Instructions.