treeschema 1.0.8

What You Can Do

The Tree Schema library is a simple interface that enables data creators and data users to manage their Tree Schema Data Catalog as code. The Tree Schema library enables you to:

• Manage data lineage as code

• Capture the values of your fields and their definitions

• Explore your catalog in the same notebook as your data analysis

Here are a few quick snippets:

Manage Your Data Lineage as Code

# Import Tree Schema
from treeschema import TreeSchema
ts = TreeSchema('<your email>', '<your secret key>')

# Define the source and target fields
src_field = ts.data_store('Kafka Cluster').schema('dvc.user:v1').field('user_id')
tgt_field = ts.data_store('Kafka Cluster ').schema('usr.clickstream:v1').field('user_id')
link = (src_field, tgt_field)

# Select your transformation
t = ts.transformation('Kafka Pub-Sub')

# Create the data lineage
t.create_links(link)

The complexity of your transformation is only limited by your own imagination. Data lineage can be explored within the Tree Schema GUI once created, a slightly more complex example may look like:

Create Definitions for Field Values

# Import Tree Schema
from treeschema import TreeSchema
ts = TreeSchema('<your email>', '<your secret key>')

# Select the field to add sample values to
src_field = ts.data_store('Kafka Cluster').schema('dvc.user:v1').field('user_status')

# Define the value and it's definition
sample_value = {
   'field_value': '02',
   'description': 'User has converted from lead to customer'
}
field.field_value(sample_value)

How to Get Started

Make sure you sign up for Tree Schema - it’s completely free to sign up with no card required - and follow the instructions for how to get your secret key .

Check out all of the Examples in the documentation to see all of the library features and to explore more in-depth and complex use-cases.

Have Questions or Need Help?

Shoot an email to developer@treeschema.com to get help integrating Tree Schema.