Azure Data Factory V2:Premium Hands on Practical Course Pack
What you'll learn
- Student will learn how to utilize Azure Data Factory ,a cloud based integration service to design and develop different pipelines to move data from on premise to Azure Cloud and inter cloud sources.
- One and only course on Udemy which covers best practices with respect to design performance oriented and efficient data movement pipelines and transformations using Azure Data Factory tool.
- This course covers deeply all the Control Flow Activities and Data Flow Transformations with industry specific use cases.
- DP-200 Exam Topics: Implement the integration runtime for Data Factory, Implement Copy Activity within Azure Data Factory, Create linked services and datasets, Create pipelines and activities, Implement Mapping Data Flows in Azure Data Factory, Create and schedule triggers, Monitor Data Factory pipelines
- DP-201 Exam Topics: Design batch processing solutions that use Data Factory, identify the optimal data ingestion method for a batch processing solution, identify where processing should take place, such as at the source or at the destination or in transit, identify transformation logic to be used in the Mapping Data Flow in Azure Data Factory.
- This course is packed with different assignments and hand on practical to enable students get expertise in designing different pipelines to meet day to day need of a cloud data engineer.
- Student will get exposure to industry level use cases and implementation scenarios. This course have examples to explain few data movement stories.
Requirements
- Basic concept of data and data bases.
- Requires laptop and internet connectivity.
- Need to opt for Azure Trial Subscription (free of cost) to practice.
Description
In this course, students will learn how to use Azure Data Factory V2 (cloud based data integration service) to design data movement pipelines and transformation workloads. This course is a complete guide to data enthusiasts to understand each and every building blocks of Azure Data Factory. They will get practical exposure to use and implement different components of Azure Data Factory with basic overview of their settings and configuration. This course is enriched with best practices and recommended steps to design optimized data pipelines. After completing this course, one can easily design basic to medium complex level data movement pipelines with competency of using best practices and recommended techniques to build efficient data movement workloads. This course will enable students to qualify Microsoft Certification Exam DP 200 & DP 201 and make them capable of solving scenario based questions asked in these exams. This course covers industry level implementation and use cases.
Get a latest copy of e-book written by Microsoft Tech Experts and developers , who work as core developer for this tool. The book is loaded with basic scenarios and different industry use cases to master this tool.
* Updated on Nov-2020 : Added Practice Test for DP 200 & DP 201 Exam Mock-Up.
* Updated on Dec-2020 : Added Incremental load section with latest video.
* Updated on Jan-2021 : Uploaded the latest resources and the e-book.
Who this course is for:
- ETL Developer, Data Engineers, Data Architect, Data Integration Engineers and Cloud Enthusiasts
Course content
- Preview06:36
- 07:09Provisioning Azure Data Factory V2
- 04:02Lab: Steps to Provision Azure Data Factory V2 & Configuration
- 1 questionTest Your Knowledge
Instructor
![Sujeet Singh](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 3.6 Instructor Rating
- 103 Reviews
- 10,169 Students
- 2 Courses
- Microsoft Certified Solution Expert: Data Management and Analytics & Microsoft Certified Cloud Data Engineer
- Expertise of working on cloud based technologies like Azure Synapse, Azure Data Factory and Azure Databricks. Experience of designing data solution in Azure Cloud to support Analytics and Business Intelligence need.
- Experience of designing ELT and ETL solution and implementing Data Warehouse in cloud as well as on premise.
- 8 + years of experience of working on Microsoft BI suite, Microsoft Azure and Big Data Ecosystems
- Have worked on more than 5 enterprise level migration projects to migrate Big Data architectures from on premise to Big Data cloud platform.
- Work as freelancer, consultant and trainer.