Azure Data Lake Storage:
At the core of Azure Data Engineering is Azure Data Lake Storage, which serves as a scalable and secure repository for data of all types and sizes. It allows organizations to store structured and unstructured data while ensuring data security and compliance. With features like hierarchical namespace and fine-grained access control, Data Lake Storage is a foundation for building data lakes.

Azure Databricks:
Azure Databricks is an integrated Apache Spark-based analytics platform that facilitates big data processing and analytics. It provides a collaborative environment for data engineers, data scientists, and analysts to work together on data-driven projects. Azure Databricks is designed for high performance, scalability, and ease of use, making it a valuable asset in data engineering pipelines.