Azure Data Factory

• Introduction to Azure Data Factory: Understand the core concepts and components of Azure Data Factory, including datasets, pipelines, activities, and triggers.
• Data Ingestion: Learn how to ingest data from on-premises and cloud-based sources such as Azure Blob Storage, Azure SQL Database, and Azure Data Lake Storage into Azure Data Factory.
• Data Transformation: Explore data transformation techniques using Azure Data Factory’s visual data flow capabilities, including data cleansing, filtering, and transformation using mapping data flows.
• Data Movement: Master data movement operations for efficiently transferring data between different data stores, both within Azure and across on-premises and cloud environments.
• Orchestration and Monitoring: Discover how to orchestrate and monitor data pipelines in Azure Data Factory, including scheduling, monitoring, and troubleshooting pipeline executions.

• Hands-on Labs: Gain practical experience with hands-on labs and exercises that simulate real-world data integration scenarios, allowing you to apply what you’ve learned in a controlled environment.
• Expert Instruction: Learn from industry experts with hands-on experience in Azure Data Factory and cloud data integration, who provide expert guidance and support throughout the course.
• Flexible Learning Options: Choose from in-person classes, live online sessions, or self-paced learning modules to accommodate your schedule and learning preferences.
• Career Support: Receive career guidance, resume building assistance, and job placement support to help you leverage your Azure Data Factory skills and advance your career in data engineering, BI, and cloud computing.

• Data Engineers: Looking to expand their skillset and expertise in cloud data integration and orchestration.
• BI Professionals: Seeking to leverage Azure Data Factory for building and managing data pipelines for analytics and reporting purposes.
• Cloud Enthusiasts: Interested in learning how to leverage Azure services for data integration and ETL (Extract, Transform, Load) operations.
• IT Professionals: Wanting to explore cloud-based data integration solutions and enhance their proficiency in Azure Data Factory.

• Duration: The Azure Data Factory course typically spans X weeks, with both full-time and part-time options available.
• Prerequisites: Basic understanding of data concepts and familiarity with cloud computing fundamentals is recommended but not required. No prior experience with Azure Data Factory is necessary.

Unlock the power of cloud data integration and orchestration with the Azure Data Factory course at APTY SOLUTIONS. Enroll now and embark on a journey to transform data into insights with Azure Data Factory, Microsoft’s leading data integration platform in the cloud.