Anchor Modeling

Current version: 0.4.1

Anchor Model metadata manager
Export model to XML loadable in Anchor Modeler
In-memory AM Data Warehouse instances
High performance engine thanks to data.table
Web based dashboard thanks to shiny
Built-in Identity Management to generate surrogate keys

Anchor Modeling Data Warehouse instance supported features:

unitemporal
views: current, latest, timepoint, difference
restatement / idempotency
dynamically shared knots
2+ anchor ties
high level ui
- map source columns to AM entities
- query 3NF views
- views output mirrors postgres anchor model sql views
- auto identitiy management for anchors and knots
- auto loading knots
- auto metadata stamping
- web overview dashboard: views, cube, pivoting, ETL logs

Installation

You need to have R installed. You need to have R devtools package installed: install.packages("devtools"). On windows it requires Rtools.

library(devtools)
## install if not installed:
#install_github("Rdatatable/data.table")
#install_github("smartinsightsfromdata/rpivotTable")
install_github("jangorecki/anchormodeling")

Deployment script on fresh environment Setup Guide, useful for Cloud or VM.

How to use

See introduction doc which will go through all features of anchor modeling in R.

License

GPL-3

Contact

J.Gorecki@wit.edu.pl