With the cloud-first data environment now a reality, data professionals are required to process, transform, and handle volumes of data with ease.
That's where Azure Data Factory Training:
Learn ETL, Data Pipelines & Cloud Integration comes in handy for any data engineer-in-the-making or seasoned data engineer. While cloud adoption is speeding up, learning data engineering with Azure is no longer a choice—it's a career imperative.
???? Why Choose Azure Data Factory?
Azure Data Factory (ADF) is Microsoft's serverless, fully managed data integration service. It enables users to construct automated data movement and transformation workflows between various services both on-premises and in the cloud. With increasing demand for cloud data professionals, hands-on training in Azure Data Factory is an investment worth making.
???? Learn Azure Data Factory Step by Step
Our step-by-step training method enables you to learn Azure Data Factory in a systematic way. From learning fundamental concepts such as linked services and datasets to creating dynamic pipelines, you will develop hands-on skills to create enterprise-level solutions.
The course covers:
- Configuration of pipeline and activities
- Integration with Azure Synapse, Data Lake, and SQL services
- Automating data flow based on triggers
- Parameterization and debugging strategies
- Every concept is illustrated with practical use cases so you can see how Azure's data engineering tools operate in production.
???? Azure Data Factory Hands-On Training
This isn't theory. Our Azure Data Factory hands-on training features real-world projects and labs so you can put what you learn into practice. You'll create data ingestion and transformation pipelines using tools such as:
- Mapping Data Flows
- Wrangling Data Flows
- Control flows for orchestration
- Azure Monitor and Log Analytics for pipeline health
- Practice real-world skills through guided labs and case studies.
???? Azure Data Pipeline Tutorial
A basic knowledge in pipeline design needed? The course features an embedded Azure data pipeline tutorial that guides you on automating end-to-end ETL. We teach from source extraction all the way through transformation to loading the destination in all steps of pipeline building.
You’ll work with data from Blob Storage, SQL Server, APIs, and more—making this tutorial ideal for anyone wanting to understand cloud ETL architecture in action.
???? Data Transformation in Azure
One of the key highlights of this training is mastering data transformation in Azure. You'll get to know how to employ Data Flows for intricate transformations such as joins, aggregations, filters, and derived columns—all within the scalable cloud environment of Azure. This makes your data pipelines fast, efficient, and production-ready.
???? Who Can Take This Training?
This training is suited for:
- Prospective Azure Data Engineers
- BI analysts and developers
- Cloud architects
- Working professionals who are getting ready for Azure Data Engineer certifications
- Whether you're new to cloud or you want to take your current skill level to the next level, this course equips you with the know-how for practical success.