Azure Data Factory : from Zero to Hero of Azure Data Factory

Comprehensive Azure Data Factory Practical Hands-on tutorial REST API, SQL DB,VM, DataLake [DP-203]& Interview Questions

Created by: Supria Santra
Senior Data Engineer

What Will I Learn?

• 100% In depth Hands on Practical Lab Sessions
• Real World Scenario based Interview Questions
• Real World Use Cases will detailed solutions
• Create Data driven, fully integrated, dynamic and automated production grade pipeline creation and orchestration
• Data Warehousing Concepts like Fact & dimension tables, SCD type1, type2, Incremental loading and implement using ADF
• All the topics related to Azure Data Factory in DP 203, DP 900 certification are covered in this course.
• Connect & copy data from On Premise data stores, On premise SQL server via Self Hosted Integration Runtime to cloud
• Gain good Data Engineering skills in Azure using Azure Data Factory (ADF), Azure Data Lake Gen2, Azure SQL Database, Azure Blob Storage and REST API
• How to ingest data from sources such as REST API, Azure Blob Storage, SQL DB into Azure Data Lake Gen2 using Azure Data Factory (ADF)
• How to transform data using Data Flows in Azure Data Factory (ADF) and load into Azure Data Lake Storage Gen2
• Learn extensively about Triggers in Azure Data Factory (ADF) and how to use them to schedule the data pipelines.
• How to build production ready pipelines and good practices and naming standards

Requirements

• None

Target audience

• College / University Students looking for a career in Data Engineering
• Freshers interested in Data Engineering on Microsoft Azure
• Mid Level Data Engineering, Data Integration, ETL Developers
• Data Engineers/ Data Warehouse Developers currently working on on-premises technologies, or other cloud platforms such as AWS or GCP who want to learn Azure Technologies
• Professionals willing to do Microsoft Certifications such as DP-900, DP-203 etc
• Mid Level Professionals who wants to learn Azure & Data Engineering
• Experienced Professionals willing to master Azure Data Factory
• Experienced Professionals willing to be Architect in order to understand capability of Data Factory
• Data Scientists who want extend their knowledge into data engineering