Azure Data Factory is a cloud-based hybrid fully managed, serverless data integration solution with built-in support for 90+ connectors to streamline the monitoring, scheduling, and management of data-driven pipelines using both UI and programmatic mechanisms. It is a cost-effective, highly scalable enterprise-ready solution to provide end-to-end solutions for requirements like Azure Compute, Data Ingest, Data Ops, Mapping Data Flow, Azure Monitor, Monitoring and Alerts, and a lot more.
Azure Data Factory is a set of interconnected systems, and it provides code-free ETL as a service. The components of Azure Data Factory are Pipelines, Dataflows, Activities, Triggers, Datasets, Integration Runtimes, and Linked Services. These components of Azure Data Factory work together to provide a base on which one can build data-driven pipelines with steps to transform data and make it consumable for the end-product.
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Module 1: Cloud Computing Concepts
Module 2: Core Azure services
Module 3: Security, Privacy, Compliance
Module 4:Azure Pricing and Support
Module 5: Azure SQL Database
Module 6: Azure Storage Service
Module 7: Azure Data Lake
Module 8: Azure Data Factory
Module 9: Working with Copy Activity
Module 10 : Practical Scenarios and Use Cases