Azure Data Factory Online Training

Master Azure Data Factory with Expert Online Training

Azure Data Factory is a cloud-based, fully managed, serverless data integration service designed to simplify the creation, scheduling, and management of data pipelines. With built-in support for over 90 connectors, it enables seamless data movement and transformation using both graphical UI and programmatic options.

Why Azure Data Factory?

Azure Data Factory offers a cost-effective, highly scalable, and enterprise-ready platform to handle:

• Azure Compute and Data Ingestion
• Data Operations and Mapping Data Flows
• Comprehensive Monitoring and Alerts with Azure Monitor
• End-to-end data integration and orchestration

Core Components

Azure Data Factory consists of several interconnected components that work together to build robust, data-driven pipelines:

• Pipelines: Workflows that define data processing sequences
• Dataflows: Visual data transformation at scale
• Activities: Tasks within pipelines like data movement or transformation
• Triggers: Scheduling and event-based execution
• Datasets: Data representations used by activities
• Integration Runtimes: Compute infrastructure for data movement and transformation
• Linked Services: Connection definitions to data sources and compute services

Join Our Training

Learn Azure Data Factory from industry experts and gain practical skills to build and manage data pipelines efficiently. Join Skill Forge Academy, the top online training institute in Bangalore, and elevate your data integration expertise with our comprehensive online course.

Renuka- Senior Consultant

• Renuka is a respected industry expert and an accomplished trainer in the field of data engineering.
• He is widely recognized as one of the top Azure Data Factory instructors with over 15 years of professional experience.
• Venkat has delivered impactful training sessions to professionals in both mid-sized and large enterprises.
• He has a strong background in conducting corporate-level training programs tailored for working professionals.
• Renowned for his practical teaching approach, many of his trainees are now placed in reputed organizations worldwide.

Module 1: Cloud Computing Concepts

• What is the “Cloud”?
• Why cloud services
• Types of cloud models
  • Deployment Models
  • Private Cloud deployment model
  • Public Cloud deployment model
  • Hybrid cloud deployment model
• Characteristics of cloud computing
  • On-demand self-service
  • Broad network access
  • Multi-tenancy and resource pooling
  • Rapid elasticity and scalability
  • Measured service
• Cloud Data Warehouse Architecture
• Shared Memory architecture
• Shared Disk architecture
• Shared Nothing architecture

Module 2: Core Azure services

• Core Azure Architectural components
• Core Azure Services and Products
• Azure solutions
• Azure management tools

Module 3: Security, Privacy, Compliance

• Securing network connectivity
• HdInsights Overview.
• Core Azure identity services
• Security tools and features
• Azure Governance methodologies
• Monitoring and reportingS
• Privacy, compliance, and data protection standards

Module 4:Azure Pricing and Support

• Azure subscriptions
• Planning and managing costs
• Azure support options
• Azure Service Level Agreements (SLAs)
• Service Lifecycle in Azure

Module 5: Azure SQL Database

• Introduction Azure SQL Database
• Comparing Single Database
• Managed Instance
• Creating and Using SQL Server
• Creating SQL Database Services
• Azure SQL Database Tools
• Migrating on premise database to SQL Azure
• Purchasing Models
• DTU service tiers
• vCore based Model
• Serverless compute tier
• Service Tiers
  • General purpose / Standard
  • Business Critical / Premium
  • Hyperscale
• Deployment of an Azure SQL Database
• Elastic Pools.
• What is SQL elastic pools
• Choosing the correct pool size
• Creating a New Pool
• Manage Pools
• Monitoring and Tuning Azure SQL Database
• Configure SQL Database Auditing
• Export and Import of Database
• Automated Backup
• Point in Time Restore
• Restore deleted databases
• Long-term backup retention
• Active Geo Replication
• Auto Failover Group

Module 6: Azure Storage Service

• Storage Service and Account
• Creating a Storage Account
• Standard and Premium Performance
• Understanding Replication
• Hot, Cold and Archive Access Tiers
• Working with Containers and Blobs
• Types of Blobs
• Block Blobs,
• Append Blobs
• Page Blobs
• Blob Metadata
• Soft Delete
• Azure Storage Explorer
• Access blobs securely
• Access Key
• Account Shared Access Token
• Service Shared Access Token
• Shared Access Policy
• Storage Service Encryption
• Azure Key Vault

Module 7: Azure Data Lake

• Introduction to Azure Data Lake
• What is Data Lake?
• What is Azure Data Lake?
• Data Lake Architecture?
• Working with Azure Data Lake
• Provisioning Azure Data Lake
• Explore Data Lake Analytics
• Explore Data Lake Store
• Uploading Sample File
• Using Azure Portal
• Using Storage Explorer
• Using Azure CLI

Module 8: Azure Data Factory

• What is Data Factory?
• Data Factory Key Components
• Pipeline and Activity
• Linked Service o Data Set
• Integration Runtime Provision Required Azure Resources
• Create Resource Group
• Create Storage Account
• Provision SQL Server and Create Database
• Provision Data Factory

Module 9: Working with Copy Activity

• Understanding Data Factory UI
• Copy Data from Blob Storage to SQL Database
• Copy data from storage account to storage account
• Create Linked service o Create Dataset
• Create Pipeline ∙ Integration Service
• Copy Data from on-premise SQL Server to Blob Storage Working with Activities
• Understanding Lookup Activity
• Understanding for Each Activity
• Filter Activity
• Get Metadata Activity Azure
• Lift and Shift
• Provisioning Azure – SSIS Integration Runtime
• Execute SSIS Packages from Azure
• Execute SSIS Packages from SSISDB Triggers,
• Monitoring Pipeline
• Debug Pipeline
• Trigger pipeline manually
• Monitor pipeline
• Trigger pipeline on schedule

Module 10 : Practical Scenarios and Use Cases

• ADF Introduction
• Important Concepts in ADF
• Create Azure Free Account for ADF
• Integration Runtime and Types
• Integration runtime in ADF-Azure IR
• Create Your First ADF
• Create Your First Pipeline in ADF
• Azure Storage Account Integration with ADF
• Copy multiple files from blob to blob
• Filter activity __ Dynamic Copy Activity
• Get File Names from Folder Dynamically
• Deep dive into Copy Activity in ADF
• Copy Activity Behavior in ADF
• Copy Activity Performance Tuning in ADF
• Validation in ADF
• Get Count of files from folder in ADF
• Validate copied data between source and sink in ADF
• Azure SQL Database integration with ADF
• Azure SQL Databases – Introduction Relational databases
• Creating Your First Azure SQL Database
  • Deployment Models
  • Purchasing Modes
• Overwrite and Append Modes in Copy Activity
• Full Load in ADF
• Copy Data from Azure SQL Database to BLOB in ADF
• Copy multiple tables in Bulk with Lookup & ForEach in Data Factory
• Logging and Notification Azure Logic Apps
• Log Pipeline Executions to SQL Table using ADF
• Custom Email Notifications Send Error notification with logic app
• Use Foreach loop activity to copy multiple Tables- Step by Step Explanation
• Incremental Load in ADF
• Incremental Load or Delta load from SQL to Blob Storage in ADF
• Multi Table Incremental Load or Delta load from SQL to Blob Storage
• Incrementally copy new and changed files based on Last Modified Date
• Azure Key Vault integration with ADF
• Azure Key Vault, Secure secrets, keys & certificates in Azure Data
• ADF Triggers:
• Event Based Trigger in ADF
• Tumbling window trigger dependency & parameters
• Schedule Trigger
• Self Hosted Integration Runtime
• Copying On Premise data using Azure Self Hosted integration Runtime
• Data Migration from On premise SQL Server to cloud using ADF
• Load data from on premise sql server to Azure SQL DB
• Data Migration with polybase and Bulk insert
• Copy Data from sql server to Azure SQL DW with polybase & Bulk Insert
• Data Migration from On premise File System to cloud using ADF
• Copy Data from on-premise File System to ADLS Gen2
• ToCopying data from REST API using ADF
• Loop through REST API copy data TO ADLS Gen2-Linked Service Parameters
• AWS S3 integration with ADF
• Migrate Data from AWS S3 Buckets to ADLS Gen2
• Activities in ADF
• Switch Activity-Move and delete data
• Until Activity-Parameters & Variables
• Copy Recent Files From Blob input to Blob Output folder without LPV
• Snowflake integration with ADF
• Copy data from Snowflake to ADLS Gen2
• Copy data from ADLS Gen2 to Snowflake
• Azure CosmosDB integration with ADF
• Copy data from Azure SQLDB to CosmosDB
• Copy data from blob to cosmosDB
• Advanced Concepts in ADF
• Nested ForEach -pass parameters from Master to child pipeline
• High Availability of Self Hosted IR &Sharing IR with other ADF
• Data Flows Introduction
• Azure Data Flows Introduction
• Setup Integration Runtime for Data Flows
• Basics of SQL Joins for Azure Data Flows
• Joins in Data Flows
• Aggregations and Derive Column Transformations
• Joins in Azure DataFlows
• Advanced Join Transformations with filter and Conditional Split
• Data Flows – Data processing use case1
• Restart data processing from failure
• Remove Duplicate Rows &Store Summary Credit Stats
• Difference Between Join vs.Lookup Transformation& Merge Functionality
• Dimensions in Data Flows
• Slowly Changing Dimension Type1 (SCD1) with HashKey Function
• Flatten Transformation
• Rank, Dense_Rank Transformatios
• Data Flows Performance Metrics and Data Flow Parameters
• How to use pivot and unpivot Transformations
• Data Quality Checks and Logging using Data Flows
• Batch Account Integration with ADF
• Custom Activity in ADF
• Azure Functions Integration with ADF
• Azure HDInsight Integration with ADF
• Azure HDInsight with Spark Cluster
• Azure Databricks Integration with ADF
• ADF Integration with Azure Databricks
• Azure Data Lake Analytics integration with ADF