Azure Data Factory TrainingContinuous IntegrationDelivery

Azure Data Factory Training–Continuous Integration/Delivery, available at $89.99, has an average rating of 4.54, with 332 lectures, based on 804 reviews, and has 6715 subscribers.

You will learn about 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. Triggers In Azure Data Factory. How to build Custom Email Notification In Azure Data Factory. Introduction to Cosmos DB. Introduction to Azure Synapse Analytics. Introduction To Azure SQL. Dynamic Data Masking in Azure SQL. Learning Materials For DP 203 Exam Introductions To Power BI This course is ideal for individuals who are Any students who want to learn Azure Data Factory or Any student who want to implement Different Data Solutions In Azure or Any student who want to learn batch processing system with Azure Data Factory or Any student who want to learn azure synapse analytics It is particularly useful for Any students who want to learn Azure Data Factory or Any student who want to implement Different Data Solutions In Azure or Any student who want to learn batch processing system with Azure Data Factory or Any student who want to learn azure synapse analytics.

Enroll now: Azure Data Factory Training–Continuous Integration/Delivery

Summary

Title: Azure Data Factory Training–Continuous Integration/Delivery

Price: $89.99

Average Rating: 4.54

Number of Lectures: 332

Number of Published Lectures: 238

Number of Curriculum Items: 332

Number of Published Curriculum Objects: 238

Original Price: $139.99

Quality Status: approved

Status: Live

What You Will 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.

Triggers In Azure Data Factory.

How to build Custom Email Notification In Azure Data Factory.

Introduction to Cosmos DB.

Introduction to Azure Synapse Analytics.

Introduction To Azure SQL.

Dynamic Data Masking in Azure SQL.

Learning Materials For DP 203 Exam

Introductions To Power BI

Who Should Attend

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

Any student who want to learn azure synapse analytics

Target Audiences

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

Any student who want to learn azure synapse analytics

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.

Mastering Power BI:

New addition, We have add ne new module to explain power BI dashboard development.

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 tables 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.

Azure Data Factory Custom Email Notifications.

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.

Custom email notification in Azure Data factory (Added in Nov 2020)

Slowly changing dimension. (Added in Nov 2020)

Incremental Load in Azure Data factory (Added in Nov 2020).

Azure Cosmos DB (Added in Dec 2020)

Azure Synapse Analytics (Added in Dec 2020)

Dynamic Data masking (Added in Dec 2020)

Mastering Power BI (Added in Oct 2021)

Additional Learning Materials -For DP 203 Exam Preparation.) (Added in Dec 2021)

Azure Mapping Data Flow New Module (Added In Dec 2022)

Course Curriculum

Chapter 1: Introduction

Lecture 1: What We Will Learn From This Course ?

Lecture 2: Download Full Resources And Code Used In This Course

Chapter 2: Azure Basics

Lecture 1: Create Azure Account With Credit Card

Lecture 2: How To Use Azure Account After Free Trial ,Without Spending Money

Lecture 3: ETL Vs ELT

Lecture 4: Key components Of ADF & SSIS

Chapter 3: Demo Lab 1: Introductions To Azure Data Factory

Lecture 1: Introduction To Lab 1

Lecture 2: Create Azure SQL Database

Lecture 3: Access Azure SQL Databases Using Azure Query Editor & SSMS

Lecture 4: Connect To Azure SQL Data Base From On-Premise Using SSMS & Create New Tables

Lecture 5: Create A Storage Account

Lecture 6: Connect To Storage Account Using Azure Storage Explore

Lecture 7: Create Azure Data Factory Instance In Azure

Lecture 8: Azure Data Factory For The First Time

Lecture 9: Create Linked Service (Connection To Source & Destinations)

Lecture 10: Create Data Set For Source Tables And Destinations Files

Lecture 11: Create Pipeline And Configure Copy Activity (Azure SQL DB To Storage Account)

Lecture 12: Execute Our Pipeline And Monitor Our Pipeline Executions

Lecture 13: Clean Your Azure Resources

Chapter 4: Practice Azure (Task 1 & Solution: New Version)

Lecture 1: Task 1: Check Your Understanding

Lecture 2: Create New Resource Group Called ADF

Lecture 3: How to Create a New Storage Account in Azure.

Lecture 4: What is Azure Data Lake V2

Lecture 5: How to Create a New Data Lake Storage in Azure.

Lecture 6: How to Create an Azure SQL Database.

Lecture 7: How to Create Tables and Insert Data into Azure SQL Database

Lecture 8: How to Create Azure Data Factory Instances and Configure Linked Services

Lecture 9: How to Create Multiple Datasets in Azure Data Factory?

Lecture 10: How to Create a Pipeline with Multiple Copy Activities in Azure Data Factory

Lecture 11: How to Clean Up Resources by Deleting an Azure Resource Group

Chapter 5: How To Use Parameters And Variables In Azure Data Factory

Lecture 1: Use Parameter In your Data Set To Create A Dynamic Pipelines-Part 1

Lecture 2: Use Parameter In your Data Set To Create A Dynamic Pipelines-Part 2

Lecture 3: Use Of Variables In Azure Data Factory

Lecture 4: Use Of System Variables In Azure Data Factory

Lecture 5: Use Set Variable Activity In Azure Data Factory

Chapter 6: Azure Data Factory Administrations

Lecture 1: Annotations in Azure Data Factory

Lecture 2: User Properties In Azure Data Factory

Chapter 7: Learn Different Control Flow Activities In ADF Part 1

Lecture 1: Understanding Our Requirements

Lecture 2: Use Of Get Metadata Activity

Lecture 3: Use Get Metadata Activity With Azure SQL Server

Lecture 4: Use Wait Activity To Delay Our Process

Lecture 5: Use Of ForEach Activity

Lecture 6: Use Of If Condition Activity

Lecture 7: Use Of Delete Activity

Lecture 8: Assignment

Lecture 9: Demo: Delete Specific Size Files Form Your Storage Account

Chapter 8: Exploring Various Control Flow Activities in Azure Data Factory, Part 1

Lecture 1: Introduction

Lecture 2: How Does the Lookup Activity Work in Azure Data Factory?

Lecture 3: What Is the Purpose of the For-Each Activity in Azure Data Factory?

Chapter 9: Real World Project & Use Cases

Lecture 1: Incrementally copy new and changed files based on Last Modified Date

Lecture 2: Difference Between Incremental Load and Full Load (Animation)

Lecture 3: How We Could Implement Incremental Load In ADF (Single Table – Insert Only)

Lecture 4: Create Infrastructure For Incremental Load Demo

Lecture 5: Create Source Tables and Destination Tables

Lecture 6: Create Dataset And Linked services

Lecture 7: Create A Full Load Azure Data Factory

Lecture 8: Implement A Incremental Load In Azure Data Factory

Lecture 9: What is SCD / Slowly changing dimension?

Lecture 10: How To Implement SCD Type 1 In Azure Data Factory?

Lecture 11: Demo: SCD Type 1

Chapter 10: Azure Data Factory Custom Email Notifications

Lecture 1: Introduction To Azure Logic Apps

Lecture 2: Lets Create A Logic Apps To Send A Email

Lecture 3: Create Resources & Data Set

Lecture 4: Invoke Azure Logic Apps Using Azure Data Factory Web Activity

Lecture 5: Pass Custom Message From ADF To Azure Logic App

Lecture 6: Pass System Parameter Values From ADF To Azure Logic Apps

Lecture 7: Configure Azure Data Factory To Send A Failed email notification -Last Activity

Lecture 8: Configure Azure Data Factory To Send A Failed email notification -Any Activity

Chapter 11: Self Hosted Integration Runtime & Data Set Parameters (Lab 3 New Version )

Lecture 1: Introduction To Lab 3

Lecture 2: Create Azure Resources For This Demo

Lecture 3: Create Self Hosted Integration Run Time To Access On-Premise Devices

Lecture 4: Perform Copy Activity Without Parameter

Lecture 5: Create Pipelines With Lookup Activity

Lecture 6: Create Pipelines With Lookup & For Each Activity

Chapter 12: Mapping Data Flow Demo Part 1 (New Module Added On Dec 2022)

Lecture 1: Introductions to Mapping Data Flow

Lecture 2: How To Use Data Flow UI Part 1

Lecture 3: How To Use Data Flow UI Part 2

Lecture 4: How To Use Data Flow UI Part 3

Lecture 5: Introductions To Required Transformations

Lecture 6: Source Transformations: Customer

Lecture 7: Schema drift in Source Transformations

Lecture 8: Source Transformations In Mapping Data Flow: Payments

Lecture 9: Source Transformations: Orders

Lecture 10: Filter Transformations: Restrict Payments Data

Lecture 11: Assignment: Filter Transformations To Restrict Customer Data

Lecture 12: Solutions: Filter Transformations To Restrict Customer Data

Lecture 13: Select Transformations: Select Relevant Columns From Customer Table

Lecture 14: Assignment: Select Relevant Columns From Payments Table

Instructors

Step2C Education
100000+ Enrollments | 4+ Rated | 190+ Countries

Step2c Learning
We Provide Online Training

Rating Distribution

1 stars: 14 votes

2 stars: 17 votes

3 stars: 139 votes

4 stars: 297 votes

5 stars: 337 votes

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