Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 4.47 GB
Genre: eLearning Video | Duration: 108 lectures (10 hour, 48 mins) | Language: English
Continuous Integration & Delivery in Azure Data Factory- Learn Azure Data Factory from scratch with hands-on exercises.
What you'll learn
How To Create Pipelines In Azure Data Factory
How To Integrate Azure Data Factory With Azure DevOps
How To Integrate Azure Data Factory With GitHub
Continuous Integration and Delivery (CI/CD) in Azure Data Factory
Learn To Use Pipelines and activities in Azure Data Factory
How To Create Data set & Linked services in Azure Data Factory
Transform Data With Mapping Data Flows
Prepare Data With Wrangling Data Flows
Learn To Use Different Data Flow activities in Azure Data Factory
Parameterizations Of Data set and pipelines
Requirements
Laptop / Mobil Phone (With headphone)
Internet Connection
Description
Azure Data Factory Masterclass: Azure Data Factory is the cloud-based ETL and data integration service that allows you to create data-driven workflows for orchestrating data movement and transforming data at scale. Using Azure Data Factory, you can create and schedule data-driven workflows (called pipelines) that can ingest data from disparate data stores.
You can build complex ETL processes that transform data visually with data flows or by using compute services such as Azure HDInsight Hadoop, Azure Databricks, and Azure SQL Database.
Additionally, you can publish your transformed data to data stores such as Azure SQL Data Warehouse for business intelligence (BI) applications to consume. Ultimately, through Azure Data Factory, raw data can be organized into meaningful data stores and data lakes for better business decisions.
In this course, you are going to learn
How to Create Free Azure Subscriptions.
Why we need the Azure Data Factory.
What are the Key Components Of Azure Data Factory?
How to create Azure Data Factory Instances,
How to create Azure SQL databases
How to CREATE TABLE IF NOT EXISTSs In Azure SQL databases and insert data into your tables using SQL Server management studio.
How to create a Blob Storage Account using the Azure portal.
How to create Azure Data Factory Instances.
How to create linked services in Azure Data factory.
How to create data set in Azure Data factory.
Master different types of activities inside Azure Data Factory
Learn to transform your data with mapping Data Flow
Learn to prepare your data with Wrangling Data Flow.
Github integrations.
Devops integrations.
Parameterization in Azure Data Factory Data Set and Pipelines.
Continuous Integration and Delivery (CI/CD) in Azure Data Factory
Who this course is for:
Any students who want to learn Azure Data Factory
Any student who want to implement Different Data Solutions In Azure
Any student who want to learn batch processing system with Azure Data Factory
Homepage: https://www.udemy.com/course/azure-data-factory-bootcamp/
TO MAC USERS: If RAR password doesn't work, use this archive program:
RAR Expander 0.8.5 Beta 4 and extract password protected files without error.
TO WIN USERS: If RAR password doesn't work, use this archive program:
Latest Winrar and extract password protected files without error.
Broknote |
