Real-World Examples of Using Azure Data Factory

In this lesson, we’ll examine some real-world examples of how organizations are using Azure Data Factory to solve their data integration challenges.

Use cases

Let’s discuss different use cases specific to industries that can utilize cloud computing and Azure Data Factory resources to advance their businesses:

Example 1: Financial services

A large financial services organization is struggling to integrate data from multiple sources into its data warehouse. They are using a variety of on-premises and cloud-based systems, each with its data formats and protocols. The organization needs a solution that could extract data from these sources, transform it into a standard format, and load it into its data warehouse.

They decide to use Azure Data Factory to build a data pipeline that captures data from multiple sources. Once they have data in their environment, they use Azure Databricks instance inside ADF to perform preliminary cleaning and aggregation of data from all the sources into one consolidated dataset. Then they use the data copy functionality in ADF to move this consolidated dataset into their own data warehouse.

By using Azure Data Factory, the organization simplifies its data ingestion process and reduces the time and effort required to capture data from multiple sources and consolidate it. They also gain greater visibility into their data integration process, which help them to identify and resolve issues more quickly.