Masterclass on Azure Data Factory - Data Engineer for 2025

Why take this course?
🚀 Course Title: Masterclass on Azure Data Factory - Data Engineer for 2024 🌟
Welcome to the Course: "Azure Data Factory - Data Engineer: Real Time Projects" 🎓✨
Dive into the world of ETL and Big Data Processing on Azure with Azure Data Factory (ADF) V2, the cutting-edge tool that's essential for any cloud-based data engineering role. This course is designed to equip you with hands-on experience in solving real-world data challenges using ADF, SQL Server, Blob, Datalake, REST API, PySpark, and Databricks.
Why Choose This Course? 🤔
This comprehensive course is tailored to provide you with the skills necessary to confidently tackle data engineering projects, offering an experience akin to having over 10 years of expertise. With scenarios that are not only relevant but also commonly encountered in diverse domains, this course is your stepping stone to mastering Azure Data Factory.
🚀 Key Learnings:
- Build Real Time Data Pipelines in Azure Data Factory (ADF) and understand the nuances of data transformations with Data Flows, loading into ADLS2 or Blob storage.
- Ingest JSON Data from SQL Server to API endpoints, learning best practices along the way.
- Production Ready Pipelines: Implement robust pipelines with good practices and naming standards for production environments.
- Monitor Pipelines: Utilize Azure Data Factory (ADF), Azure Monitor, and Log Analytics to keep an eye on your data pipelines' health and performance.
- Manual/Triggers: Learn how to schedule data pipelines effectively using ADF's manual or Trigger functionalities.
- Dynamic Pipeline Creation and Orchestration: Design fully integrated, dynamic, and automated production-grade pipelines that respond to your data needs.
- Data Warehousing Concepts: Grasp Fact & Dimension tables, SCD type1, type2, Incremental loading, and implement these concepts using ADF.
- Connect & Copy Data: Efficiently move data from on-premise SQL servers to the cloud with Self Hosted Integration Runtime.
- Ingest Data: Learn to ingest data from REST APIs, Azure Blob Storage, SQL DB into Azure Data Lake Gen2 using ADF.
🏆 Who Should Take This Course?
This course is ideal for:
- Aspiring and current Data Engineers looking to expand their skillset with Azure services.
- Professionals aiming to pass Azure Data Factory certification exams (DP200/DP203).
- Developers who want to leverage data engineering tools to enhance their projects.
By the end of this course, you will have a solid understanding of Azure Data Factory and its capabilities, enabling you to handle complex data challenges with confidence. You'll be ready to implement ETL processes and build scalable and maintainable pipelines that meet real-time demands of modern data engineering environments. 📊💾
Join us on this journey to become a proficient Data Engineer and unlock the potential of Big Data with Azure Data Factory! 🚀🌟
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