Welcome !!

Here is an open source Smart (Data) Historian. One-Stop shop for AI-Powered time-based data.

It is Big Data, AI Powered and can archive your time series (sensor data) without volume limitation with the performance of a simple to operate Big Data infrastructure and features worthy of historical data historians, and much more ...

The Data historian has evolved from being just a place for storing data to becoming a data infrastructure. This is a complete infrastructure solution with the capability of integration, archiving, asset modeling, notifications, visualizing, analysis, and many more analyzing features.

Introduction

• Features : what do we mean by “Industrial Data Management System” ?
• Concepts : core entities for manipulating time series and chunks
• Architecture : all the building blocks of that framework
• Data Model : to dive deeper into the concepts and the object model.
• PromQL dialect : to interact with the data
• REST api : query historian with http calls

Greensights

• Lean ICT : Why do we need to look for Digital Sobriety ?
• Greensights : A platform to measure and optimize digital environmental footprint

Tutorials

• Getting started : the first link to click if you want to play right now
• Big Data api with Spark : different ways to feed historian with data
• Timeseries clustering : find anomalies with tie series clustering (keans over mllib)
• Data visualisation : how to use grafana to get visual insights

Operational

• Run on kube : learn how to use Helm to easily deploy on Kubernetes
• Developer guide : everything about building, test and extending the framework