This is a pre-production deployment of Warehouse, however changes made here WILL affect the production instance of PyPI.
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Project Description

Usage

This example will create and fill the historical staging area:

pipeline = Pipeline(config)
pipe = pipeline.get_or_create_pipe('test_source', source_config)

source_file = CsvFile(get_root_path() + '/sample_data/patienten1.csv', delimiter=';')
source_file.reflect()
source_file.set_primary_key(['patientnummer'])
mapping = SourceToSorMapping(source_file, 'persoon_hstage', auto_map=True)
pipe.mappings.append(mapping)

pipeline.run()

More examples can be found on the GitHub repository of NL Healthcare.

Introduction

Pyelt is a Python DDL and ETL framework for creating and loading Data Vaults for datawarehousing.

Pyelt supports several data-layers, including Source-of-Record (SOR), Raw datavault (RDV), Business datavault (BDV) and Datamarts (DM)

Pyelt can import data from several different source systems such as fixed length files, csv-files, and different databases.

Pyelt is developed to run on a postgreSQL database.

Pyelt uses the SQLAlchemy.core only for the connection and for reflection. All other SQL statements (ddl, copy, insert and update statements) are created by the pyelt framework itself.

Write your own mappings to transfer and transform data from sources via staging into the data ware house.

Background

The pyelt framework is presently under development at NL Healthcare, with the aim to implement our next-generation datawarehouse (DWH2.0). It serves as the foundation for our work in the area of clinical business intelligence (CBI) and machine-learning.

Architectural cornerstones of this project are:

Release History

Release History

0.9.4.6a0

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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0.9.4.5a0

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TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyelt-0.9.4.6a0.zip (71.2 kB) Copy SHA256 Checksum SHA256 Source Sep 16, 2016

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