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Azure Data Factory online Training in hyderabad

VLR Training provides Azure Data Factory online Training in Hyderabad by Industry Expert Trainers. We provide Azure Data Factory  live projects to the students and also Every day Azure Data Factory  Training  Recorded sessions. 

About Azure Data Factory

(ADF) is a cloud-based data integration service provided by Microsoft Azure. It allows you to create, schedule, and manage data pipelines to ingest, transform, and load data from various sources and destinations across cloud and on-premises environments.

Azure Data Factory online Training Course Details

Course Duration

30 Days



Mode of Training


Key features of Azure Data Factory

  1. Data Orchestration: ADF enables you to create and manage data pipelines to move and process data between various data stores, such as Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, SQL Server, and more.

  2. Data Transformation: ADF provides data transformation capabilities, allowing you to transform and manipulate data during the movement process. This can include data cleansing, data formatting, data aggregation, and other data transformations.

  3. Data Integration: ADF allows you to integrate with various data sources and destinations, both within Azure and external to Azure, to bring data together in a unified and consistent way.

  4. Data Movement: ADF supports moving data in batches or real-time, depending on your requirements. It can efficiently handle large volumes of data and optimize data transfer between data stores.

  5. Monitoring and Management: ADF provides monitoring and logging capabilities to track the execution and health of data pipelines. It also allows you to manage and troubleshoot pipelines and activities.

  6. Integration with Other Azure Services: Azure Data Factory seamlessly integrates with other Azure services, such as Azure Logic Apps, Azure Functions, Azure Databricks, and more, enabling you to create more complex data workflows and data-driven solutions.

Azure Data Factory employs a graphical user interface (GUI) to design data pipelines, making it easy for users without extensive coding knowledge to create and manage data workflows. Additionally, it supports code-based authoring using Azure Data Factory’s JSON-based language, allowing developers more flexibility and version control over their data pipeline definitions.

Azure Data Factory online Training corse content

● Azure Data Factory
● Azure Storage Solutions

● Azure Account
● Azure Portal
● Azure Data Factory
● Azure Storage Account
● Azure Storage Explorer
● Azure Data Lake Storage Gen2
● Azure SQL Database
● Azure Data Studio

● Copy
● Linked Services
● Data Sets
● Pipeline
● Validation
● Get Metadata
● If Condition
● Web
● Delete
● Triggers
● Event Trigger
● Pipeline Variables
● Pipeline Parameters & Schedule Trigger
● Linked Service Parameters
● Metadata Driven Pipeline

● Data Flow UI
● Source Transformation
● Filter Transformation
● Pivot Transformation
● Lookup Transformation
● Sink Transformation
● Select Transformation
● Conditional Split Transformation
● Derived Column Transformation
● Aggregate Transformation
● Join Transformation
● Sort Transformation

● Feeding Data to HDInsight, Databricks and Azure SQL
● Monitoring
● Power BI Reports
● CI / CD Cycle
● Projects

Azure Data Factory online Training demo Videos By venkat

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