In today’s digital landscape, organizations need to manage and process data from a variety of sources, both structured and unstructured. Azure Data Factory (ADF) has emerged as a powerful cloud-based data integration service that enables businesses to build scalable data pipelines, orchestrate data movement, and transform data across multiple environments.

In today’s data-driven world, businesses rely heavily on data pipelines to move and transform data from various sources into a centralized location for analysis and decision-making. Two of the most common approaches in data engineering are ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform). Both are crucial, but choosing the right one can significantly impact the efficiency and effectiveness of your data processing. In this blog post, we'll explore ETL and ELT, their differences and advantages, and when to choose each for your data pipeline.

Entity Framework is an Object Relational Mapping framework for .NET applications. It simplifies the interaction between the database and the application. Entity framework helps in handling the translation of Entity classes and properties into Database Objects.