Azure Data Factory Primary Use Case
Our customers use it for data analytics on a large volume of data. So, they're basically bringing data in from multiple sources, and they are doing ETL extraction, transformation, and loading. Then they do initial analytics, populate a data lake, and after that, they take the data from the data lake into more on-premise complex analytics.
Its version depends on a customer's environment. Sometimes, we use the latest version, and sometimes, we use the previous versions.View full review »
Senior Manager at a tech services company with 51-200 employees
My primary use case is getting data from the sensors.
The sensors are installed on the various equipment across the plant, and this sensor gives us a huge amount of data. Some are captured on a millisecond basis.
What we are able to do is the data into Azure Data Factory, and it has allowed us to scale up well. We are able to utilize that data for our predictive maintenance of the assets of the equipment, as well as the prediction of the breakdown. Specifically, we use the data to look at predictions for future possible breakdowns. At least, that is what we are looking to build towards.View full review »
Azure Data Factory is for data transformation and data loading. It works from your transaction systems, and we are using it for our HRMS, Human Resource Capital Management System. It picks up all the transactional data pick and moves into the Azure Data Warehouse. From there, we would like to create reports in terms of our financial positions and our resource utilization project. These are the reports that we need to build onto the warehouse.
The purpose of Azure Data Factory is more about transformations, so it doesn't need to have a good dashboard. But, it has a feeding user interface for us to do our activities and debug actions. I think that's good enough.View full review »
Data Analytics Specialist at a pharma/biotech company with 10,001+ employees
My primary use case of Azure Data Factory is supporting the data migration for advanced analytics projects.View full review »
We generally implement this product for data transformation for our clients. We create the pipelines and provide training before handing it over to them. We generally deal with large-scale organizations. I'm a senior solutions architect.View full review »
We are not using this product specifically as a data factory. We have taken Synapse Analytics as the entire component for the data warehousing solution. Azure Data Factory is one of the components of that, and we are using it for ETL.View full review »
Business Unit Manager Data Migration and Integration at a tech services company with 201-500 employees
We use this solution for data integration. We use it to feed operational data into a data warehouse. We also use it for creating connections between applications.
Within our organization, there are a few thousand users of Azure Data Factory.
We believe that the number of customers and usage of this product will extend over the next few years. For this reason, we invest a lot of resources in building skills, and we make sure to hire consultants who know their way around Data Factory.View full review »
Lead BI&A Consultant at a computer software company with 10,001+ employees
We had an old, traditional data warehouse. We decided to put it into the cloud and we used Azure Data Factory to reform the EEL process from SQL server integration services to extra data.View full review »
Principal Engineer at a computer software company with 501-1,000 employees
Data Strategist | Azure Solutions Architect at a tech services company with 11-50 employees
I primarily use the solution for my small and medium-sized clients.View full review »
CTO at a construction company with 1,001-5,000 employees
We are using this solution to gather information from SCADA systems, analyze it using AI and machine learning, and then sending the results to our users. They receive and view the data using the Power BI interface.View full review »
BI Practice Lead at a tech services company with 1,001-5,000 employees
The primary use case is integrating data from different ERP systems and loading it into Azure Synapse for reporting. We use Power BI for the reporting side of it.
We also have customers who are migrating to Azure Data Factory and we are assisting them with making the transition.View full review »
I use Azure Data Factory in my company because we are implementing a lot of different projects for a big company based in the USA. We're getting certain information from different sources—for example, some files in the Azure Blob Storage. We're migrating that information to other databases. We are validating and transforming the data. After that, we put that data in some databases in Azure Synapse and SQL databases.View full review »
Data engineer at Target
My primary use cases for this solution are integration and connecting to the different data stores where we get data and migration activity, deployment, and integrations into using linked services and deployment models.View full review »
The primary use case of this solution is for data integration.View full review »
I use this primarily for ETL tasks.View full review »
Our primary use case is data loading.View full review »
Enterprise Data Architect at a financial services firm with 201-500 employees
In my new organization, we are currently analyzing this solution. In my previous organization, I have worked with Azure Data Factory and Databricks.
It is deployed in a virtual private cloud.View full review »
Senior Systems Analyst at a non-profit with 201-500 employees
We use the solution to gather data from four separate operational systems.View full review »