This project converts a 6,500-line SAS production system to the Databricks platform using PySpark SQL and Python. The conversion process includes: sas-convertor/ ├── src/ │ ├── sas_parser/ # SAS code ...

An open-source Python library for simplifying local testing of Databricks workflows using PySpark and Delta tables. This library enables seamless testing of PySpark processing logic outside Databricks ...

By combining Databricks, Python, and PySpark, organizations can elevate their ETL testing from a manual, error-prone task to a scalable, automated process. At SDET Tech, we help teams implement ...

Rajkumar Kyadasu is a Lead Data Engineer with over 9 years of experience in data engineering, cloud infrastructure, and automation. Currently employed as a Lead Data Engineer, Rajkumar focuses on ...

Databricks has rapidly become a cornerstone for data engineers and scientists, offering a unified analytics platform that integrates the capabilities of data lakes and data warehouses. One of the ...

At the heart of Apache Spark is the concept of the Resilient Distributed Dataset (RDD), a programming abstraction that represents an immutable collection of objects that can be split across a ...