Azure Data Factory Online Training in Hyderabad | Azure Data Factory Online Training

Azure Data Factory is a cloud-based hybrid fully managed, serverless data integration solution with built-in support for 90+ connectors to streamline the monitoring, scheduling, and management of data-driven pipelines using both UI and programmatic mechanisms. It is a cost-effective, highly scalable enterprise-ready solution to provide end-to-end solutions for requirements like Azure Compute, Data Ingest, Data Ops, Mapping Data Flow, Azure Monitor, Monitoring and Alerts, and a lot more.

Azure Data Factory is a set of interconnected systems, and it provides code-free ETL as a service. The components of Azure Data Factory are Pipelines, Dataflows, Activities, Triggers, Datasets, Integration Runtimes, and Linked Services. These components of Azure Data Factory work together to provide a base on which one can build data-driven pipelines with steps to transform data and make it consumable for the end-product.

Learn how to use Azure Data Factory from the experts. Join Version IT we are the top online training institute in Hyderabad.

Venkat Sr.Consultant

Venkat is a renowned educationalist and highly qualified trainer. He is Acclaimed as the best Azure data factory trainer with a total of 14 years of Experience. He conducted Trainings in mid and large size companies and well experienced in Corporate trainings. He is best chosen trainer for IT consultants. who underwent training with him are settled across the Globe.

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

Module 11: Spark Basics

Spark Architecture
Spark RDD
Spark SQL
Spark SQL Functions
Spark SQL Advanced

Module 12:Python Basics

Python Basics
Python Data Types
Python Functions
Python Modules and packages
Python File handling
Python Data Structur

Azure Data Factory Online Training