A Series of Notebooks on how to start with Kafka and Python
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Updated
Aug 28, 2023 - Jupyter Notebook
A Series of Notebooks on how to start with Kafka and Python
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
Collection of Databricks and Jupyter Notebooks
存放学习笔记、写过的博客等~
Notebooks showing Streams applications written in Python
Jupyter notebooks for filtering Kafka data with Spark Streaming.
A repo for Jupyter notebook sharing using kafka pipelines.
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.
Docker image build from jupyter/scipy-notebook that allows the developer to use python kafka modules in python notebooks.
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
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