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Udemy - Azure Data Factory Master Program [Real time scenarios+Labs]

   Author: Baturi   |   05 July 2021   |   Comments icon: 0



Udemy - Azure Data Factory Master Program [Real time scenarios+Labs]
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 3.66 GB | Duration: 10h 39m
What you'll learn


Who want to learn Azure Data Factory
Requirements
No
Description
What is Big Data
Different domains which generates Big Data
Real-time use case - finance
Real-time use case - Retail
Real-time use case - Travel
Real-time use case - Health Care
Scenario
What is azure data factory
Code Free ETL as a Service
Why Azure Data Factory
Linked Services
Datasets
Activity
Pipeline
Triggers
Parameters
Azure data factory v2 data flow architecture
Prerequisites to create Free Subscription in azure
How to create Azure Free Subscription
How to login Into Azure Portal
A Quick tour on azure portal
What is subscription
What is resource group
What is location/region
What is integration runtime
What are the different types of Integration Runtimes(IR)
What is Azure IR
What is Self-Hosted IR
What is SSIS IR
Which integration runtime should I use?
Integration runtime location
What is auto-resolve integration runtime
Determining which IR to use
Overview Diagram
What is Storage Account
What is File, Queue and Table in Storage Account
What is Blob Storage and Types
Storage tiers
Storage performance Tier
Data Redundancy
Demo
Create Storage Account
Upload data into Storage Account
Create Azure Data Factory V2 through UI
Create Azure Data Factory V2 through powershell
Azure Blob Storage containers
CSV File Overview
Data flow diagram
Estimations
Debugging Functionality in Azure Data Factory
Prerequisites
Required Resources
Naming convensions
Demo
Create Storage Account
Upload file into Storage Account
Create Azure Data Factory V2
Create Linked Service for blob storage using Integration Runtime
Create Source Data Reference
Create Sink Data Reference
Create Pipeline
Debug Pipeline
Run Pipeline
Monitor Pipeline
Copy multiple csv files from inputcsv container to outputcsv container as csv file
Copy specific extension files from input container to output container as specified file format.
Copy two types of files json and csv from inputcsvjson container to outputcsvjson container as source format
Dynamic Copy Activity
Copy files based on filenames from input container to output container as csv format
Copy selected file based on filename from input container to output container as source format
Copy two types of files json and csv from input container to output container as csv files
Copy two types of files json and csv from input container to output container as csv files
How to add timestamp for files while copying from input container to output container
Copy Json and CSV files from input container to jsoncontainer and csvcontainer.
Who this course is for:
Software Engineers
University Students

Homepage
https://www.udemy.com/course/azuredatafactory/


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