Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 1.57 GB
Genre: eLearning Video | Duration: 46 lectures (4 hour, 3 mins) | Language: English
Learn Azure cloud based data integration tool Data Factory with hands on practical sessions to clear DP 200 and DP 201.
What you'll learn Homepage: https://www.udemy.com/course/azure-data-factory-complete-guide-for-cloud-data-engineers
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.
Who this course is for:
ETL Developer, Data Engineers, Data Architect, Data Integration Engineers and Cloud Enthusiasts
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