Databricks Lakebridge is a free, open-source toolkit developed by Databricks Labs designed to automate and accelerate migrations from legacy data warehouses and ETL platforms to Databricks SQL and the ...

Develop and maintain our data storage platforms and specialised data pipelines to support the company’s Technology Operations. Development and maintenance of LakeHouse environments. Development of ...

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 ...

So I have recently cleared the Azure Databricks Data Engineer Associate exam which is an entry level to enter in the world of Data Engineering via Databricks. Honestly, I think this exam was ...

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 ...

I assume you've had such a situation already - you want to run a long series of small transformation jobs for multiple tables in your Databricks notebook in the most efficient, parallel way. And you ...

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 ...

There are a number of ways to configure access to Azure Data Lake Storage gen2 (ADLS) from Azure Databricks (ADB). This blog attempts to cover the common patterns, advantages and disadvantages of each ...