Microsoft Azure Data Factory Classroom Training in Pune

We provide Azure Data Factory training in online mode and offline mode as well. This Microsoft Azure Data Factory training in pune will make you enable to work on real-time case studies and projects on Azure Data Factory.

BI-Stack provides best azure data factory classroom training in pune we provide practical training opportunities to enable learners to apply their knowledge. The curriculum ought to incorporate hands-on labs, projects, and case studies to equip students with the necessary practical experience of using Azure Data Factory.

This Azure Data Factory certification training in pune makes you industry ready. After the completion of Azure Data Training in Pune we do provide placements on Azure Data Factory. This course help you to secure your position in MNC.

What is Azure Data Factory?

Azure Data Factory is a data integration service offered by Microsoft within the Azure platform, designed to help organizations create, manage and schedule data movement and transformation tasks across a variety of sources and destinations. The service allows users to integrate data from diverse sources, including structured, semi-structured, and unstructured data stores, and both cloud-based and on-premises systems. This data can then be processed and transformed to meet the specific requirements of various downstream applications such as machine learning, reporting, and analytics.

Outcome of Azure Data Factory Training

The Azure Data Factory training program offers a comprehensive overview of Azure Data Factory, its features, and its role in the Azure ecosystem, allowing participants to acquire a solid understanding of the platform.

Through the program, participants can develop their skills in creating data pipelines using Azure Data Factory's user-friendly drag-and-drop interface, allowing them to transfer, manipulate, and process data between different sources and destinations.

The program also covers the various data transformation capabilities of Azure Data Factory, including mapping, aggregation, and filtering, which are critical for tailoring data to the requirements of downstream applications.

Participants will learn how to integrate Azure Data Factory with other Azure services such as Azure Synapse Analytics, Azure Databricks, and Azure Machine Learning, gaining a clear understanding of how to combine these services for maximum efficiency.

Finally, the program covers essential data management skills such as monitoring and managing data pipelines, identifying, and resolving errors, and receiving alerts, which are essential for success in the modern workplace.

Features of Azure Data Factory

Azure Data Factory facilitates data integration from various sources including structured, semi-structured, and unstructured data stores, as well as on-premises and cloud-based systems.

The service provides a variety of data transformation capabilities such as mapping, aggregation, and filtering, which enable users to process and transform data to meet the requirements of downstream applications.

Azure Data Factory is highly scalable and can dynamically scale to handle large volumes of data, making it suitable for organizations dealing with big data.

The service is user-friendly, offering an intuitive drag-and-drop interface that allows users to create complex data integration workflows with minimal coding.

Data monitoring and error handling are essential features of Azure Data Factory, as it allows users to monitor data pipelines, detect and handle errors, and receive alerts when problems occur.

Azure Data Factory seamlessly integrates with other Azure services such as Azure Synapse Analytics, Azure Databricks, and Azure Machine Learning, providing users with the ability to create end-to-end data integration and analytics workflows.