Data engineering is a complex field and you will need to have a wide array of tools in your toolkit to be able to excel. You have an important role in ensuring timely and accurate data insights for analysts, data scientists, and other stakeholders.

Learn the technical and soft skills needed in data engineering.

Building robust Azure Data Factory (ADF) pipelines is crucial for efficient and reliable data workflows. This guide explores essential practices such as implementing reusability, retry mechanisms, error alerting, and avoiding unnecessary loops. By leveraging tools like Logic Apps for notifications and incorporating version control and CI/CD, you can create scalable, maintainable, and cost-effective pipelines that minimize downtime and deliver consistent results.