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Tools to help load data into Analytics Cloud

Project Description

[![GitHub license](]( Wave Data Loader

Tools to help load data into Wave


First, you will need to set your SFDC credencials via environment variables:

export SFDC_PASSWORD=yourpassword
export SFDC_TOKEN=yourtoken

More information about getting your [Security Token](

The quickest way to get started is to load an entire table into Salesforce Wave

pyac-table postgres:// table_name

This command will execute the following three step process.

  1. generate a JSON file containing metadata describing your data
  2. generate a CSV file with your data
  3. upload the metadata and data to Analytics Cloud

pyAnalyticsCloud also provides commands help with each step, this allows you to customize your data before upload:

pyac-metadata postgres:// table_name -o metadata.json
pyac-dump postgres:// table_name -o data.csv
pyac-upload metadata.json data.csv

Rather than manually editing the datafiles, you may want to simply create a new DB table that is populated with your data and use pyac-table.


If you want to develop more advanced workflows you can use pyAnalyticsCloud as a library for a Python application.

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File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
pyAnalyticsCloud-0.8.0.tar.gz (6.5 kB) Copy SHA256 Checksum SHA256 Source Aug 15, 2016

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