Architecting Robust ETL Workflows Using PySpark in Azure
Architecting Robust ETL Workflows Using PySpark in Azure Creating an ETL workflow is one of the first practical tasks you will undertake as a beginner in data engineering. The process of moving and cleaning data before it is prepared for dashboards or analysis is known as extract, transform, and load, or ETL. This article will…
What is a Data Lake and How Does It Work?
A data lake is a central repository that allows you to store all your structured and unstructured data at any scale. It’s designed to handle large volumes of data with low latency, and it enables you to store data in its raw format and process and analyze it using various tools and technologies. One of…