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Data transformations are like recipes - they take raw ingredients (your source data) and turn them into a finished dish (clean, organized data ready for analysis). The possibilities are endless. Nekt’s transformations let you process data using Python, SQL, or pre-built solutions. You can run complex calculations, join multiple data sources, implement business rules, and schedule automated workflows. The transformation engine supports both batch and real-time processing, allowing you to build data pipelines that match your specific requirements. Whether you need to clean data, calculate metrics, or create new datasets, you have full control over how your data is processed. The Transformations page is your central hub for managing all your transformations. From here, you can:
  • Activate or deactivate transformations.
  • Trigger executions manually.
  • Review transformation details, logs, and performance metrics.
  • Edit or delete transformations as needed.

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Choose Your Transformation Method

Nekt offers three powerful ways to create transformations, each designed to meet different needs and skill levels:

Notebooks

Leverage the full power of Apache Spark with Python in Jupyter notebooks. Perfect for complex data processing and custom logic implementation.

Queries

Write SQL queries with the help of our AI Assistant. Convert natural language to SQL and transform your data with familiar SQL syntax.

History

Set up common transformations without writing code. Start with our SCD Type 2 transformation and more pre-built solutions.