Skip to main content

A data ingestion tool for bigger-than-memory data sets.

Project description

Note

For the latest source, discussion, etc, please visit the GitLab repository

Data ingestion for bigger-than-memory data sets

This repository contains the code for computing the mean, standard deviation, max value and the histogram for all features in bigger-than-memory data sets.

Requirements

  • Python 3.6+

Getting started

Instalation

How-to use

Documentation

Disclaimer

The code available in this repository concerns the coding challenge from Jungle.ai for the data engineer position and it is a work in progress.

Project details


Release history Release notifications

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for data-ingest, version 0.0.1
Filename, size File type Python version Upload date Hashes
Filename, size data_ingest-0.0.1-py3.7.egg (1.9 kB) File type Egg Python version 3.7 Upload date Hashes View hashes

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page