Wendelin Exanalytics Libre

WENDELIN combines Scikit Learn machine learning and NEO distributed storage for out-of-core data analytics in python

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This short HowTo will teach you how to ingest data inside Wendelin platform using ebulk. In order to do so you must have already a Wendelin instance ready and know its URL and username / password to access. There's no need of additional configuration at Wendelin side as it comes already pre configured.
You can read wendelin-HowTo.Install.Wendelin.Standalone to know how to install Wendelin. Please note that during installation you should have checked to install the proposed data lake functionality!

Step 1: Install ebulk

root@debian: ~$ add-apt-repository ppa:rporchetto/ebulk-ppa
root@debian: ~$ apt-get update
root@debian: ~$ apt-get install ebulk

Step 2: Configure ebulk client

Before this step you need to be aware of your Wendelin's instance URL, username and password.

# when asked please insert your Wendelin instance' URL which if you used installation HowTo should be
# following: https://<ip_v4>/erp5
ivan@debian: ~$ ebulk set-data-lake-url

# please insert username / password which if you used installation HowTo should be provided by "erp5-show -s" command
ivan@debian: ~$ ebulk store-credentials

Step 3: Init your "data" and push to Wendelin

# this step will prepare internally your folder with ebulk's metadata files inside
ivan@debian: ~$ ebulk init <Your_BIG_Data_Set>

# real push to Wendelin
ivan@debian: ~$ ebulk push <Your_BIG_Data_Set>

Step 4: Check your data is ingested at Wendelin side

If you used Wendelin's installation HowTo with "data lake" funtionality selected for installation a default data lake website user interface will be available under this URL:


And your newly uploaded data set should be there.