Hi @All Tech Geeks ,Azure Data Factory is cloud based scaled-out serverless data integration and data transformation. It offers a code-free UI for intuitive authoring and single-pane-of-glass monitoring and management. In the essence it is a serverless offering managed cloud service that helps to build complex ETL and ELT and data integration projects.
The other significant capability of Azure Data Factory (ADF) is it natively supports over 90 data sources and sinks (target) as part of its integration and loading process. ADF helps in transforming, scheduling and loading the data as per project requirement.
Whereas Azure Data Lake is massively scalable and secure data lake storage for storing optimized workloads. It can store structured, semi structured and unstructured data seamlessly. ADLS is multi modal storage mechanism as you can query either Blob object store APIs or the new Gen2 file system APIs. ADLS has capability of storing massive amount of data without any hindrance in file-based structure, that makes it ideal storage service for highly optimized big data workloads.
Please go through below documentation for further reading:
https://learn.microsoft.com/en-us/azure/data-factory/
https://learn.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-introduction
https://www.cathrinewilhelmsen.net/series/beginners-guide-azure-data-factory/ Thanks