Create powerful data transformations using PySpark in Jupyter notebooks.
PySpark transformations in Nekt combine the distributed computing power of Apache Spark with the flexibility of Python to help you build sophisticated data pipelines. Whether you’re implementing complex business logic, handling large-scale data processing, or creating custom transformations, our Jupyter notebook integration makes it easy to develop and deploy your code.
Nekt makes it simple to create, test, and deploy transformations using Jupyter Notebooks. Whether you’re new to data engineering or an experienced user, our templates provide an easy starting point for building transformations.