ADF's primary purpose is to handle data replication across local and remote, relational and non-relational data sources. In addition, ADF may replicate data between these different types of sources. Additionally, the ADF Service can be used to modify the incoming data to cater to the requirements of a particular organization. Ingestion of data can be accomplished using ADF Service either as an ETL or an ELT tool. This makes it a vital component of the vast majority of Big Data solutions. Sign up for Azure Training in Hyderabad to gain an in-depth understanding of the several advantages offered by ADF Service.
