Azure Data Factory | Data Engineering on Azure and Fabric
Azure Data Factory | Data Engineering on Azure and Fabric, available at $69.99, has an average rating of 4.57, with 132 lectures, based on 1206 reviews, and has 11686 subscribers.
You will learn about Azure Data Factory Microsoft Fabric Data Factory Azure Storage Accounts Azure SQL Databases and Upsert Operations Overview and Background of Azure Big Data Analytics Solutions Integrating Data From Various File Formats Authentication and Access: Service Principals, Managed Identities and Azure Key Vault Data Pipelines, Copy Activity, Data Flows, Control Flow and Transformation Activities Implementing a Modern Data Lake Control Flow, Parameters and Variables Real World Application of Azure Data Factory Azure DevOps Source Control with Data Factory Continuous Integration and Continuous Deployment (CI/CD) This course is ideal for individuals who are Anyone interested in Azure, Microsoft Fabric or Cloud Data Engineering or Anyone interested in working with Big Data or Anyone working with cloud data It is particularly useful for Anyone interested in Azure, Microsoft Fabric or Cloud Data Engineering or Anyone interested in working with Big Data or Anyone working with cloud data.
Enroll now: Azure Data Factory | Data Engineering on Azure and Fabric
Summary
Title: Azure Data Factory | Data Engineering on Azure and Fabric
Price: $69.99
Average Rating: 4.57
Number of Lectures: 132
Number of Published Lectures: 132
Number of Curriculum Items: 132
Number of Published Curriculum Objects: 132
Original Price: $84.99
Quality Status: approved
Status: Live
What You Will Learn
- Azure Data Factory
- Microsoft Fabric Data Factory
- Azure Storage Accounts
- Azure SQL Databases and Upsert Operations
- Overview and Background of Azure Big Data Analytics Solutions
- Integrating Data From Various File Formats
- Authentication and Access: Service Principals, Managed Identities and Azure Key Vault
- Data Pipelines, Copy Activity, Data Flows, Control Flow and Transformation Activities
- Implementing a Modern Data Lake
- Control Flow, Parameters and Variables
- Real World Application of Azure Data Factory
- Azure DevOps Source Control with Data Factory
- Continuous Integration and Continuous Deployment (CI/CD)
Who Should Attend
- Anyone interested in Azure, Microsoft Fabric or Cloud Data Engineering
- Anyone interested in working with Big Data
- Anyone working with cloud data
Target Audiences
- Anyone interested in Azure, Microsoft Fabric or Cloud Data Engineering
- Anyone interested in working with Big Data
- Anyone working with cloud data
I am pleased to present this course on one of the most in demand data engineering tools around… Azure Data Factory!
As the demand for cloud-based data integration services continues to skyrocket, there is a huge demand for professionals with knowledge of services like Azure Data Factory and Microsoft Fabric. By learning these applications, users can enhance their skills and increase their job prospects in the field of data engineering and analytics.
In this course you will primarily be using Azure Data Factory on Microsoft Azure and Microsoft Fabric in addition to other services such as Azure Blob Storage, Azure Data Lake Storage Gen 2 and Azure SQL Database.
The course is packed with lectures, code-along videos and a dedicated course project. As an added benefit you will also have lifetime access to all of the lectures…
This course will cover the following topics:
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Azure Storage Solutions such as Azure Blob Storage and Azure Data Lake Gen2 Storage
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The basics of Azure Data Factory including the core components such as Linked Services, Datasets, Activities, Data Flows, Pipelines and Integration Runtimes
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Integrating data from various file formats such as CSV, JSON and Parquet
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The Copy Activity in Azure Data Factory
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Data Flows, Control Flow and Transformation Activities in Azure Data Factory
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Orchestrating Data Integration Workflows
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How to create Schedules and Triggers to execute your pipelines
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How to use Parameters and Variables with your Linked Services, Datasets and Pipelines
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How to use Azure Data Factory with SQL Databases
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Authentication and Access including Managed Identities, Service Principals and Azure Key Vault
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The Data Factory Experience in Microsoft Fabric
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Azure DevOps Source Control
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Continuous Integration and Continuous Deployment
Course Curriculum
Chapter 1: Course Overview and Set Up
Lecture 1: Course Overview
Lecture 2: Azure Big Data Analytics
Lecture 3: Azure Account Set Up
Lecture 4: Azure UI Overview and Creating Your Subscription
Lecture 5: Services and Regions
Lecture 6: Naming Conventions and Creating the Course Resource Group
Lecture 7: Cost Management and Pricing
Lecture 8: Links and Resources
Chapter 2: Azure Storage
Lecture 1: Azure Storage Solutions Overview
Lecture 2: Classification of Data
Lecture 3: ADF Supported File Formats
Lecture 4: Customer Orders Dataset Download and Overview
Lecture 5: Blueprint for the Data Lake
Lecture 6: Storage Account Creation
Lecture 7: Container Creation and File Upload
Lecture 8: Links and Resources
Chapter 3: ADF – Overview and Set Up
Lecture 1: Azure Data Factory Overview
Lecture 2: ADF Resource Creation
Lecture 3: ADF User Interface and Components Overview
Lecture 4: Links and Resources
Chapter 4: Data Movement
Lecture 1: Copy Activity Overview
Lecture 2: Section Objective
Lecture 3: Copy Activity – Order Items Part 1 (Linked Services and Source/Sink Datasets)
Lecture 4: Copy Activity – Order Items Part 2 (Copy Activity and Pipeline)
Lecture 5: Copy Activity – Customers JSON
Lecture 6: Copy Activity – Orders Parquet
Lecture 7: Copy Activity – Stores and Products JSON
Lecture 8: Organising Data Factory Objects in Folders
Lecture 9: Chaining Activities
Lecture 10: Working with Multiple Files as a Source and Copy Behaviour
Lecture 11: Links and Resources
Chapter 5: Data Transformation
Lecture 1: Data Flow Overview
Lecture 2: Section Objective
Lecture 3: Data Flow Demo and User Interface
Lecture 4: Data Flow Debug (Pricing)
Lecture 5: Data Flow Debug (Row Limit)
Lecture 6: Source and Sink Partitioning
Lecture 7: Select Transformation
Lecture 8: Cast Transformation
Lecture 9: Import Projection
Lecture 10: Derived Column Transformation
Lecture 11: Raw to Cleansed Data Flow Requirement
Lecture 12: Raw to Cleansed Data Flow Walkthrough
Lecture 13: Partitioned Datasets
Lecture 14: Filter and Sort Transformations
Lecture 15: Aggregate Transformation
Lecture 16: Join Transformation
Lecture 17: Conditional Split and Union Transformations
Lecture 18: Cleansed to Structured Data Flow Requirement
Lecture 19: Cleansed to Structured Data Flow Walkthrough
Lecture 20: Structured to Analytics Data Flow Requirement
Lecture 21: Structured to Analytics Data Flow Walkthrough
Lecture 22: Links and Resources
Chapter 6: Scheduling and Chaining Pipelines for Execution
Lecture 1: Execute Pipeline Activity
Lecture 2: Data Flow Debug Session vs Activity Runtime
Lecture 3: Schedule Triggers
Lecture 4: Storage Events Trigger
Lecture 5: Tumbling Window Triggers
Lecture 6: Links and Resources
Chapter 7: Control Flow, Parameters and Variables
Lecture 1: Data Lake Preparation
Lecture 2: Delete Activity
Lecture 3: Get Metadata Activity
Lecture 4: Lookup Activity
Lecture 5: If Condition and Switch Activities
Lecture 6: Introduction to Parameters in ADF
Lecture 7: Introduction to Variables in ADF
Lecture 8: ForEach Activity
Lecture 9: Metadata Based Approach (Example)
Lecture 10: Course Project Activity: Dynamic Datasets and Folder Structure
Lecture 11: Links and Resources
Chapter 8: Azure SQL Database for Structured Data
Lecture 1: Section Overview
Lecture 2: Creating our Azure SQL Resource
Lecture 3: Creating our Schema and Tables
Lecture 4: Adding a Unique Identifier Column to Structured Orders Data
Lecture 5: Creating Linked Service and Datasets for SQL
Lecture 6: Important Note Regarding the Dynamic Datasets
Lecture 7: Copy Activity with SQL Sink
Lecture 8: Data Flow with SQL Sink
Lecture 9: Course Project Activity: Storing our Structured Data in the SQL Database
Lecture 10: Links and Resources
Chapter 9: Tumbling Window Triggers
Lecture 1: Tumbling Window Triggers Overview
Lecture 2: Ingest Data for Specific Time Intervals
Lecture 3: Tumbling Window Trigger Dependencies
Lecture 4: Links and Resources
Chapter 10: Authentication and Access
Lecture 1: Overview
Lecture 2: Azure Key Vault
Lecture 3: System Assigned Managed Identities
Lecture 4: User Assigned Managed Identities
Lecture 5: Service Principals
Lecture 6: Fine Grained Access Control for Storage Accounts
Instructors
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Malvik Vaghadia
Founder – Pathfinder Analytics
Rating Distribution
- 1 stars: 11 votes
- 2 stars: 10 votes
- 3 stars: 88 votes
- 4 stars: 456 votes
- 5 stars: 641 votes
Frequently Asked Questions
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You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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