Big Data Bag Utilities

code, labs and lectures for the course

code, labs and lectures for the course

[Archive] Intern project - Big Data Exploration using MongoDB - This Repository is NOT a supported MongoDB product

A set of tools for working with Omniture daily data files (hit_data.tsv) in big or small tools like Spark, Hadoop or just Python.

Simple demo implementation of Lambda and Kappa architectures using Python, Docker, Kafka, Spark and Cassandra

Trough: Big data, small databases.

A Python script that extracts data from Google Analytics and imports it into a Google Big Query table.

"Advanced Python" subject from the Master in Big Data @ IE

Image Classifier Going forward, AI algorithms will be incorporated into more and more everyday applications. For example, you might want to include an image classifier in a smartphone app. To do this, you'd use a deep learning model trained on hundreds of thousands of images as part of the overall application architecture. A large part of software developme

This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-bigquery-connection

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Python和R语言应用案例，提供1年的图书馆借阅数据，并进行大数据分析。

Combine Spark and Python to process large datasets and unlock the power of parallel computing and machine learning

A big data web application to predict USA airline traffic delay with Python, Flask, Apache Spark, Kafka, MongoDB, ElasticSearch, d3.js, scikit-learn, MLlib and Apache Airflow.

Course materials in Udemy Apache Spark 2.0 + Python: Do Big Data Analytics & ML

The open-source engine that powers bigbuilder, the Los Angeles Times Data Desk's system for publishing standalone pages

Lectures in Big Data Institute, Seoul National University

QuakeLabeler is a Python package to create and manage your seismic training data, processes, and visualization in a single place — so you can focus on building the next big thing.

rastercube is a python library for big data analysis of georeferenced time series data (e.g. MODIS NDVI)