Azure Data Engineer Online Training In Hyderabad | Azure Data Engineer Online Training

Master Azure Data Engineering with Expert-Led Online Training in Hyderabad

Do you want to advance your career in cloud and data technologies? Our online training in Hyderabad on Azure Data Engineering is the key to opening the door to becoming a Microsoft-certified data professional. This is an all-inclusive program that aims to develop profound skills in architecture, development, and support of scale data solutions on Microsoft Azure platform. Master the trade secrets of the industry professionals, get practical skills, and be ready to pass the DP-203 certification exam all without leaving your home.

Why Choose Azure for Your Data Engineering Career?

One of the most popular cloud platforms in the world is Microsoft Azure, and the companies are eager to hire specialists who can work with data pipelines, who can integrate big data solutions, and who can apply real-time analytics. As Hyderabad is quickly growing as a tech and cloud center, our online training provides you with an advantage when looking to get hired. As a fresher or a working professional, learning Azure Data Engineering will allow you to take up high-paying jobs in any industry.

Version IT – Your Trusted Partner for Online IT Learning

At Version IT we are convinced in providing career-focused training which makes our learners’ job ready. Being one of the best Azure Data Engineering Online Training in Hyderabad , we have developed exclusive online courses keeping in mind the recent industry trends and certification requirements. Focus on quality education, flexible timings, and one-on-one guidance has made us the most preferred institute of IT professionals not only in India but all over.

Course Highlights – What You’ll Gain from This Program

Live Online Classes with Experts - Be taught by authorized Azure experts with numerous years of practical experience
Real-Time Projects & Labs – Gain some hands-on experience with such tools as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Data Lake
Certification-Oriented education: The Microsoft Azure certification DP-203: Data Engineering on Microsoft Azure serves as the foundation for our education
Convenient Class Times- You can either take a weekday batch or a weekend batch depending on your schedule
Job-Oriented Training – This will consist of resume writing, mock-interviews and placement services
Lifetime Learning Access- Review the recorded sessions and materials whenever you want

What You’ll Learn: A Complete Skill Set for Data Engineering

Data pipeline creation and operation with Azure Data Factory
Azure Databricks and Spark processing of big data
Utilizing Azure Data Lake and Azure Synapse for data storage
Azure data system security and monitoring

Who Should Take This Azure Data Engineering Course?

The course would be perfect for:

Data Analysts or Developers who want to migrate to data engineering
Azure-based projects developed by Cloud Engineers and Architects
New grads will enter the big data and cloud space
Those professionals who are preparing to get the DP-203 certification

Enroll Today – Start Your Journey to a Cloud-Driven Career

Are you ready to access high-growth career data engineering opportunities? Version IT Azure Data Engineering Online Course in Hyderabad will help you advance your skills to a new level. To reserve your seat, Balance your batches or to enquire about the course fees and certification assistance, call us now and talk to a course advisor.

Sri Ram Sr.Consultant

SRI RAM is a versatile mentor having Through knowledge in Azure Data Engineer. With his vast Experience he served in top most MNC's .With his unique teaching methods sriram trained hundreds of students and professionals in Azure.He Guided many aspirants by assisting them to get the job Opportunities.

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
Types of cloud services
Infrastructure as a Service,
Platform as a Service,
Software as a Service
Comparing Cloud Platforms
- Microsoft Azure,
- Amazon Web Services,
- Google Cloud Platform
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

Module 3: Security, Privacy, Compliance

Securing network connectivity
Core Azure identity services
Security tools and features
Azure Governance methodologies
Monitoring and reporting
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

AZURE Data Engineer Online Training