Udemy - Azure Data Factory For Azure Data Engineer And Dp-203 Exam

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Udemy - Azure Data Factory For Azure Data Engineer And Dp-203 Exam (Size: 712.2 MB)
  1 - What is Azure Data Factory and real world usecases.mp4 27.3 MB
  10 - Demo Creating Data pipeline using COPY activity.mp4 78.5 MB
  11 - Demo Control flow activities Metadata activity Filter and ForEach activity.mp4 68.4 MB
  12 - Demo Data flow activity for deduplication and aggregation.mp4 72.7 MB
  13 - Types of Integration runtimes.mp4 30.4 MB
  14 - Demo Create Azure Integration runtime.mp4 22.3 MB
  15 - Types of triggers.mp4 24.9 MB
  16 - Demo Ondemand trigger.mp4 36.7 MB
  17 - Demo Monitoring the ADF pipeline.mp4 25.7 MB
  2 - Data engineering Patterns using ADF.mp4 34 MB
  3 - PipelineActivities Integration Runtime Datasets and Linked Services.mp4 40.2 MB
  4 - ADF-Demo1-Create-new-Storage-Account-1.mov 15.9 MB
  4 - Demo Creating a storage account.mp4 56 MB
  5 - Demo Creating a Cosmos DB account.mp4 70.3 MB
  6 - Demo Creating a Dataset in Azure Data Factory.mp4 30.3 MB
  7 - Demo Creating a Linked Service in Azure Data Factory.mp4 32.8 MB
  8 - DemoADF DS to Cosmos db.mp4 21.3 MB
  9 - DemoADF to Cosmos DB linked service.mp4 24.3 MB
  Bonus Resources.txt 409.6 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 20 total files

Description


Azure Data Factory For Azure Data Engineer And Dp-203 Exam
https://DevCourseWeb.com

Published 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 712.24 MB | Duration: 1h 44m

Data engineering with Azure Data Factory in real world projects in 1.5 hours. Start your career as Azure Data engineer !

What you'll learn
Data engineering with Azure data factory in real world projects to process large scale data
Data movement and migration using copy data activity from various sources
Data transformations and processing using Data flow activity
Creating linked services to connect with various data sources
Creating Integration runtime to run the ADF pipeline
Implementing different types of triggers in Azure Data Factory
Data monitoring and and alerts in Azure Data factory
Requirements
There are no prerequisites for this course. No programming experience is required
It is good to have basic knowledge of ETL tools but not compulsory
It is good to have some knowledge in SQL but not mandatory
Every one is able to understand this course
Description
In this course, you are going to learn how to build data pipelines with azure data factory for real-world projects from an industry expert with hands-on Labs.Anyone can spend 1.5 hours time and become an Azure Data engineer!This course will provide what is data factory, what are the various core components in azure data factory.This course is useful for those aspiring to become azure data engineers. Those who want to switch their career from soft engineering to data engineerTo expand their skills from AWS, GCP data engineer to AZURE data engineerto gain an in-depth understanding of the latest trends in azure data engineeringThis course covers the following topics.Basic concepts of various components in ADFWhat are ETL and ELT What is Linked service, for creating Linked serviceWhat is a data set, for creating Data setWhat is Integration run timeWhat is an Azure Data lake for creating Azure data lake storage accountWhat is Cosmos DB for creating Cosmos DBWhat is COPY activity for creating a data pipeline to move data from ADLS 2 to Cosmos DB using COPY ActivityWhat are control flow activities- Get Metadata activity for getting Metadata activityFilter activity for Filter activityForEach activity for ForEach activity for other Control flow activitiesWhat is DATA FLOW Activity for removing Duplicate data using DATA FLOW ActivityThe course is useful not only for freshers but also for experienced data engineers to gain more skills in azure data engineering

Overview

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