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Best Azure Data Engineer Training in Bangalore | Azure Data

Advance your career with VisualPathu2019s Azure Data Engineer Training in Bangalore, designed to build real-world expertise through hands-on projects. Our Azure Data Engineer Course Online provides flexibility, certification support, and lifetime access to recorded sessions. Learn from anywhereu2014whether you're in the USA, UK, Canada, or beyond. Call 91-7032290546 now to book your free demo.<br>WhatsApp: https://wa.me/c/917032290546 <br>Register here: https://forms.gle/eeEnmKRnRujmT2Dq5 <br>Visit: https://www.visualpath.in/online-azure-data-engineer-course.html

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Best Azure Data Engineer Training in Bangalore | Azure Data

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  1. Azure Data Factory vs. SQL Server Integration Services (SSIS) Subtitle:A Comparison of Microsoft’s Data Integration Tools www.visualpath.in +91-7032290546

  2. Introduction • Data integration is a key component of modern data engineering. • Microsoft offers two powerful tools: • Azure Data Factory (ADF) • SQL Server Integration Services (SSIS) • This presentation explores their key differences, use cases, and advantages. www.visualpath.in +91-7032290546

  3. Overview of SSIS • SSIS is an on-premises ETL tool provided with SQL Server. • Designed for traditional data warehousing environments. • Provides a GUI-based development environment in SQL Server Data Tools (SSDT). • Supports advanced data flow transformations. www.visualpath.in +91-7032290546

  4. Overview of Azure Data Factory • ADF is a cloud-based ETL and ELT service. • Part of the Azure ecosystem, designed for modern, scalable data workflows. • Supports hybrid data integration (on-premises + cloud). • Uses pipeline-based orchestration and integrates with many Azure services. www.visualpath.in +91-7032290546

  5. Key Differences – Architecture • SSIS runs on-premises or via IaaS (in VMs). • ADF is fully managed, PaaS-based (Platform as a Service). • ADF supports serverless data integration. • SSIS requires maintenance of hardware and software. www.visualpath.in +91-7032290546

  6. Development & Deployment • SSIS: • Visual Studio-based design. • Manual or scheduled deployment. • ADF: • Web-based UI or code (JSON/ARM templates). • Seamless CI/CD with Azure DevOps. • Git integration for version control. www.visualpath.in +91-7032290546

  7. Integration Capabilities • ADF: • Native connectors for Azure services (Blob Storage, Synapse, etc.). • Supports more cloud-based sources. • SSIS: • Rich transformation options, especially for complex legacy systems. • Limited cloud support unless integrated with Azure-SSIS IR. www.visualpath.in +91-7032290546

  8. When to Use What • Choose SSIS if: • You are working with on-premSQL Server. • You have existing SSIS packages. • Choose ADF if: • You need a cloud-first solution. • You're working with large-scale, modern data architectures. • You require scalable, serverless orchestration. www.visualpath.in +91-7032290546

  9. Conclusion • Both tools serve specific needs and can coexist. • ADF is ideal for cloud-native and hybrid workflows. • SSIS remains strong for on-prem or legacy ETL jobs. • Azure-SSIS Integration Runtime allows migrating SSIS to the cloud for a hybrid approach. www.visualpath.in +91-7032290546

  10. For More Information About • Azure Data Engineering • Address:- Flat no: 205, 2nd Floor, • Nilagiri Block, Aditya Enclave, Ameerpet, Hyderabad-16 • Ph. No: +91-998997107 • www.visualpath.in • online@visualpath.in www.visualpath.in +91-7032290546

  11. Thank You www.visualpath.in www.visualpath.in +91-7032290546

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