Building Blocks¶

Seeknal provides modular building blocks that you can combine to create powerful data pipelines. This section describes each building block in detail.

What Are Building Blocks?¶

Building blocks are the fundamental components of Seeknal pipelines:

Sources: Define where your data comes from
Transforms: Specify how to transform your data
Common Config: Reusable column mappings, rules, and SQL snippets
Aggregations: Aggregate data across entities and time
Feature Groups: Organize features for ML use cases
Semantic Models: Define metrics for analytics
Tasks: Advanced processing with Python

When to Use Building Blocks¶

Use Building Blocks When:¶

You need detailed reference information
You're designing complex pipelines
You want to understand available options
You're troubleshooting pipeline issues

Use Tutorials When:¶

You're learning Seeknal for the first time
You want hands-on examples
You prefer step-by-step guidance

Building Blocks Overview¶

Block	Description	Use Case
Sources	Data ingestion from files, databases, APIs	Getting data into Seeknal
Transforms	Data transformations with SQL or Python	Cleaning, enriching, reshaping data
Common Config	Shared column mappings, rules, SQL snippets	DRY pipelines, consistent naming
Aggregations	First and second-order aggregations	Computing metrics, rollups
Feature Groups	Feature organization with point-in-time joins	ML feature engineering
Semantic Models	Metric definitions for analytics	Business intelligence, KPIs
Tasks	Advanced Python processing	Custom logic, complex operations

Pipeline Builder Workflow - How building blocks fit into the workflow
YAML vs Python - Choosing your implementation approach
Virtual Environments - Safe development with building blocks

Next: Learn about Sources or return to Choosing Your Path