1 / 11

Azure Data Engineer | Azure Data Engineer Course in Chennai

Boost your career with VisualPathu2019s Azure Data Engineer Course in Chennai, focused on practical, hands-on learning. Our Azure Data Engineer Training includes flexible timings and lifetime access to session recordings. Learn online from the USA, the UK, Canada, or worldwide. Call 91-7032290546 today to book your free demo session.<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<br>

kalyan28
Download Presentation

Azure Data Engineer | Azure Data Engineer Course in Chennai

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Subtitle:A Guide for Azure Data Engineers Key Differences Between ETL and ELT Processes in Azure www.visualpath.in +91-7032290546

  2. Introduction to Azure Data Engineering • Azure provides a scalable cloud ecosystem for building modern data pipelines. • ETL and ELT are two primary approaches to ingest, process, and store data. • Understanding their differences is crucial for building efficient solutions. www.visualpath.in +91-7032290546

  3. What is ETL? (Extract, Transform, Load) • Data is extracted from source systems. • Transformed in a staging area (on-prem or cloud). • Loaded into a destination like Azure SQL Database or Synapse Analytics. • Best for complex transformations before loading data. www.visualpath.in +91-7032290546

  4. What is ELT? (Extract, Load, Transform) • Data is extracted from source systems. • Loaded directly into Azure Data Lake or Synapse Analytics. • Transformed inside the target system using native compute power (e.g., T-SQL, Spark). • Ideal for handling large volumes of raw data. www.visualpath.in +91-7032290546

  5. Tooling in Azure for ETL • Azure Data Factory (ADF) for orchestration. • Azure Integration Runtime or SSIS for transformation. • Data loaded into Azure Synapse or SQL DB post-transformation. www.visualpath.in +91-7032290546

  6. Tooling in Azure for ELT • ADF used primarily for orchestration and data movement. • Data stored in Azure Data Lake or Synapse. • Transformations performed using Synapse SQL, Databricks, or Spark pools. www.visualpath.in +91-7032290546

  7. Key Differences: ETL vs ELT www.visualpath.in +91-7032290546

  8. When to Use ETL or ELT in Azure • Use ETL when: • Source data needs cleaning before loading • Regulatory compliance requires transformation before storage • Use ELT when: • Working with large volumes of semi-structured or raw data • Utilizing Synapse or Databricks for scalable compute www.visualpath.in +91-7032290546

  9. Conclusion • ETL and ELT both play key roles in Azure data pipelines. • Choose based on data volume, transformation complexity, and performance needs. • Azure supports both approaches using robust, integrated services. 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

More Related