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Latest ERP5 Documents

Automated Monitoring and Reporting of Vibrations and Noise Across Sensor-Systems Using Wendelin and Jupyter Notebooks

A complete use case of Nexedi technologies (Wendelin, Jupyter) for the implementation of a Big Data Application in the field of Civil Engineering.
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Open Source / Free Software for Effective Industry 4.0

Programme and Information about the Industry 4.0 Meetup by Nexedi GmbH and Fraunhofer IAO on November 12th, 2018 in Stuttgart with Amarisoft, Linutronix, Olimex and Télécom ParisTech.
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Structural health monitoring and ice detection for connected wind turbines with Wendelin

A complete use case of Nexedi technologies (Wendelin, NEO) for the implementation of a Big Data infrastructure in the field of Wind Energy.
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Edge Computing for Industrial Automation and Control

The business of industrial automation and control will move away over time from existing, highly profitable, proprietary product lines towards much more flexible yet less profitable open hardware and Free Software. Future profits will eventually emerge from online services based on industrial big data, personalisation, legal regulation and trade secret powered by increasingly smart sensors and gateways at the edge.
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The AI Office : no staff, no paper

Nexedi is looking for a Python developer willing to experiment a concept of office with no staff and no paper.
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Python Big Data And AI

Nexedi is looking for a Python developer interested in applications of the Wendelin out-of-core Big Data system to various industries : wind turbines, security, construction, office automation, etc. 
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Free Software

Nexedi has created, maintains and provides customization services for a full stack of free software solutions.
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Optimising MariaDB for Big Data

MariaDB is used at the core of ERP5 and Wendelin. Thanks to NEO distributed object store, MariaDB can store hundred terabyte of big data information such as wind turbine vibration, noise, server logs, etc. We explain in this blog how we currently optimise MariaDB to obtain good results and what remains to be done at the core of MariaDB to reach even further scalability.
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Improving python memory management in a multi-process environment with wendelin.core

This talk explains how to efficiently use memory with mutli-process deployments of cpython on multi-core servers or clusters, thanks to a distributed transactional memory manager: wendelin.core.
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Tutorial on Wendelin Data Ingestion

Data Ingestion with Embulk and Wendelin. Install, setup and configuration. Weather Data Example.
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Earth Observation AppStore

A presentation of the Big Data AppStore in the context of digital transformation strategy of multinational companies specialising in Earth Observation.
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Free IoT Software for Wind Energy

This presentation introduces a complete use case of Nexedi technologies (SlapOS, Wendelin, re6st) for the implementation of a IoT and Big Data infrastructure in the field of Wind Energy.
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Have AI. Need Data: How Big Data App Stores close the Data Divide between Startups and Industry

A Big Data App Store allows a startup company to run its data analysis and A.I. software against data sets of large corporations with revenues being shared between both. It offers an opportunity for industry and startups to compete with GAFA (Google Apple Facebook Amazon) or BAT (Baidu Alibaba Tencent) by closing the Data Divide resulting from compliance or strategic mismatch and can be implemented in three months by a small team using Wendelin technology.
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Using Wendelin To Visualize Computed Data

A tutorial showing how to build websites with Wendelin to display computed data.
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Analyzing Data With Wendelin

A tutorial explaining how to use Wendelin to work with ingested data, including using out-of-core capabilities.
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Wendelin: Out-of-Core Pydata

The wendelin.core library and the Wendelin platform provide two practical solutions to scale up pydata libraries and scripts beyond the limites of RAM. Wendelin thus eliminates the need to redevelop and port pydata scripts to another language and platform as soon as data grows. Pydata can now be used both for prototyping data analytics with Jupyter and for scalable deployment for Wendelin. Wendelin.core and Wendelin are both Free Software supported by Nexedi.
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Wendelin: early prototype of a Pandas-based Inventory API

The Inventory API is one of the areas of ERP5 that demands the most processing power to do calculations over all the client's stock movements. We created a Wendelin prototype to see if we could expand the capacities of the Inventory API using Pandas.
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Wendelin: 0.5 released

Wendelin has just announced the new 0.5 release. This release integrates Jupyter into Wendelin providing a familiar interface when working with data. Work has also been gone into upgrading to Wendelin Core 0.5 as well as simplifying the standalone install process.
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Wendelin: Release 0.5 Performance

Image for Blog post on Wendelin Release 0.5
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Wendelin: core version 0.5 upgrade and performance tests

Wendelin Core was upgraded to version 0.5 adding support for two different formats of data storage. We compare their performance against MariaDB and look ahead.
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