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Microsoft Azure Data Factory
Course Content
Section 1: Introduction to Microsoft Azure
What is Data.
How many types of data bases(OLTP&OLAP)
Types Cloud Vendors
What is on premises and what is cloud
Differences between on premises and cloud
what is Cloud computing
what are services offering Microsoft azure
Advantages of cloud computing
Typesof cloud deployments
Types of cloud Services
Microsoft Azure vs AWS
How to Create Azure Account
Azure Architecture & Services
How to Create Resources and Resource Groups in Microsoft Azure
How to create VirtualMachine
How to create SQL in virtual machines
Section 2: Storage Accounts In Azure
Containers/Blob Storages
File
Queues
Tables
Section 3: Data Lake
Blob Storage vs Data Lake
What is Data Lake
Date Lake Gen1 Vs Gen2
How to store Data into data lake
How to Query data from data lake to SQL Server.
Introduction to Azure Data Lake U-SQL Batch Job
Data Lake Analytics
How to Schedule Data Lake Analytics Jobs using Data Factory
Azure Blob to Data Lake Gen 2 using Data Factory
What is HD-insigh
Section 4: SQL services In Azure
Azure SQL
Dedicated SQL Pool Formerly known as DW
SQL VM’s
SQL Managed Instances
Azure Synapse Warehouse
Access keys
Connection strings
IAM/RBAC
Share Access Signatures (SAS Tokens)
Service Principal Identity Mechanism(Tenant ID,Client ID,Secret Key)
Section 5: What Is Azure Data Ware House
Compare SQL Database vs Azure Data Warehouse
How to Create Azure Data Warehouse
How to cross query data in Data Warehouse
Poly base using Azure Data warehouse
How to Query Azure SQL Data Warehouse from On-premises SSMS and Cloud
How to Load Data to Azure Data Warehouse using data Factory from Azure SQL
How to Load Data from on premises to Cloud SQL DW using data factory
Section 6: Azure Data Factory
What is AzureData Factory vs SSIS
What is Linked Services
What is Data Sets
What is Pipelines
Parameters vs Variables
Copy Data
Monitoring pipelines using different approaches
Different kinds of integration runtimes
How to create pipelines from template
How to do Transformations using Data Flows
How to configure different Integration Runtimes
Azure Integration runtime
Auto resolve Integration runtime
Azure self Hosted Integration Runtime
SSIS Integration runtime
Triggering the Pipelines by using 3 types of Triggers
Move & transform
Copy Data
General activities
Web Activity
Execute Pipeline
Execute SSIS Package
Get Metadata
Lookup
Stored procedure
Set Variable
Delete
Wait
Until
Iteration & Conditionals
Filter
For Each
If Condition
Until
Source
Lookup
Derived Column
Alter Row
Conditional Split
Sink
What are ARM Templates using for Deployment
How to Deploy Data Factory Pipelines DEV, Test, Prod
Environment
Version Control and Code Repository in Azure Devops
Debugging and Monitoring Pipelines
Error handling and Logging error records
Lift and Shift SSIS packages in to Azure Data Factory
Section 7: Logic Apps
What is Logic Apps
How to Create Workflow using Logic Apps in Azure
How to Send Mail using Logic app in Azure Data Factory
REST API’S
What is REST APIS and how to transfer the data from JSON format into Azure SQL Tables.
Azure Event Hub’s
How to create Event hubs and using streaming Analytics how to get the streaming data and send it to Blob storages By Using Logic Apps.
Section 8: Databricks
What is Databricks
How to Create Data Bricks Free Account
What is Workspace in Data Bricks
Different Kind of Clusters in Data Bricks
Basics of Spark
What is Note Books
How to Mount Data take to data bricks using Scala
Reading data From Blob storage and Writing into Azure sqL
Reading data From Data Lake storage and Writing into Azure
SQL
using spark sql
Explore, Analyze, Clean, Transform and Load Data in Data bricks using SqL
Python vs scata vs SQL
Configure data bricks
Schedule and Run Notebooks in Azure Data Factory with the realtime notebooks
Section 9: Security
Access Keys
Shared Access Signature
Azure Active Directory
How to register App in Azure Active Directory
Role Based Access Control
Azure Key Vaults
Section 10: End To End Real Time Project
Will cover end to end flow of a project
How will get the requirements
What kind of requirements will get?
Documentation
End to end implementation
Unit test cases preparation
DMR and FS Documents
Will Conduct Mockup Interviews
Section 11: POWER BI
what is power BI
How to create Reports in Power BI desktop Using Azure Data sources
Publish Reports into power BI cloud
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