This repository contains a lab report and supporting scripts/notebooks that explore Big Data and NoSQL technologies, including Neo4j, mongoDB and Hadoop

Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.

This repository contains my hands-on journey through the Big Data training by NTI. Includes labs, notebooks, and notes on tools like HDFS, Spark, Kafka, Flink, Hive, HBase and more.

AI course Notebooks and Exercises

Local playground for Spark and Jupyter notebooks, plus Iceberg support

Apache Hadoop development environment integrated with Jupyter Notebook using Docker

重庆大学2024年秋大数据架构与技术课程，本仓库基于学校提供的原开源项目进行了优化和扩展，包含最新的工具版本、简化的环境配置流程、以及对更便捷高效的开发工具（如 Jupyter Notebook）的全面支持。

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

收录了大数据相关各类资料、笔记、手册

Simple notebook illustrating Hadoop example with map reduce on a large file for big data.

c++, data_analysis, deep_learning, docker, git, python etc.

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…

Hadoop beginner exercise in analyzing European football teams' statistics over the last 20 years. The goal is to determine which team had the highest win percentage-rate.

Exercise of using the Streaming API with Hadoop to determine the word count of Wikipedia articles.

Hadoop environment with HDFS, Spark, Hue, Jupyter Notebooks, etc. all installed in docker-compose

Simple examples of using spark RDDs with a remote jupyter notebook

Jupyter Notebook showing how to process Telecom datasets using PySpark (SparkSQL and DataFrames) and plotting the results using Matplotlib.

Stack to run Zeppelin notebooks over Hadoop and Spark

hdp-notebook