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Azure Data Engineer Training in
Chennai

Design your data future with our Azure data engineer course in Chennai. Learn the skill of data flow through practical skills training, real-world projects and guaranteed placement.

8 Modules

with Certifications

Certificate

After Completion

English

Language

An Overview of Azure Data Engineering Course

In the modern hectic environment, the world is moving at a fast pace with data being the key behind smarter decisions and revolutionary business innovations. The global need to employ competent data engineers to accomplish the job is on the rise, as organizations continue to push the limits of data to their utmost potential.

So, what is data engineering? Data engineering deals with the design and development of systems that are capable of collecting, storing and analyzing massive amounts of data at scale level with the ultimate effect of enabling organizations with real time information.

Are you willing to open the doors of the power of data and build your career to new heights? You can also learn data engineering in Chennai at Version IT and become the professional you desire to become in this vibrant job.

Enroll in our data engineering course, which is industry-centered and is bound to distinguish you. The intelligent combination of practical training and the best theoretical skills in our highly developed data engineering course is an elaborate and well-designed curriculum addressing the key aspects of data pipeline construction and maintenance of large-scale data systems as well as learning the cloud environments.

Highlights of Our Azure Data Engineer Online Training

Expert Trainers

On-the-job training by experts on the experience of working with data engineering.

Modern Infrastructure

Curriculum supported by modern tools that encompass ETL, cloud and the likes.

Personalized Learning

Small batches and support to the trainer according to personal learning styles.

Career Kick start

Career placement provided to secure high positions in leading firms.

Learn From Anywhere

Attend weekday and weekend classes that have reasonable cost and installment packages.

Ground Up Skill Building

Much training to work towards more complicated issues such as big data processing smoothly.

Who Can Take Our Azure Data Engineering Course?

  • Technical enthusiasts with some fundamental understanding of computer basics and programming.
  • New professionals in the engineering fields like IT, CS, ECE, or others.
  • Experienced software developers or data analysts seeking a change of profession.
  • Information technology specialists who wish to specialize in data systems; system engineers, DBAs, and others.
  • Individuals who want to learn how to utilize big-data, cloud solutions, and ETL.
  • Future data users in the role of data architects, data engineers or ETL developers.

Who are our Azure Data Engineering Mentors and Trainers?

  • Experienced personnel in data engineering in the industry.
  • Experts with outstanding expertise to create ETL pipelines, data warehouses, as well as cloud solutions.
  • Instructors that are highly experienced in projects and have experience in various industries.
  • Certified hardworking specialists in Spark, AWS, Azure, Python, SQL, and GCP among others.
  • Involving mentors to give information on career guidance, interview preparation and portfolio building.
  • Very qualified personnel to deliver the finest data engineering courses on the internet and through physical classroom instruction.

Azure Data Engineering Certifications in Chennai

To help you improve your resume-related data engineering skills, Version IT provides Azure data engineering certification:

 Significant Results of Our Data Engineering Course

We are providing top Azure data engineer training online, which is in the prime IT hub in Chennai, which opens a door of amazing opportunities to fresher’s and established professionals. In data engineering, our extensive training and placement service provides you with:

  • Practical learning on cloud and big data tools.
  • Unlimited access to free Lab facilities and cloud labs.
  • Free high-speed Wi-Fi
  • Authentication of real world projects.
  • Resume development in data engineering.
  • Top company placement support.
  • Regular mock interviews
  • Interview preparation guide.
  • Continuing technical assistance after the course.
  • Blogging instruction to demonstrate competence.

Jumpstart Your Azure Data Engineering Career at Version IT

Version IT is the best Azure data engineer training institute in Chennai, offering extraordinary skills in the field of Azure data engineering. Placed data engineering courses prepare you to develop data systems and begin your career in it.

Topics You will Learn

  • 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
  • Securing network connectivity
  • Core Azure identity services
  • Security tools and features
  • Azure Governance methodologies
  • Monitoring and reporting
  • Privacy, compliance, and data protection standards
  • bytes Data Type
  • byte array
  • String Formatting in Python
  • Math, Random, Secrets Modules
  • Introduction
  • Initialization of variables
  • Local variables
  • Global variables
  • 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
  • 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
  • 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
  • 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
  • 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

Let Your Certificates Speak

Certificate

All You Need to Start this Course

Testimonials

Still Having Doubts?

Version IT provides training centered on industry with real-life projects and advanced skills on Azure technologies, so students have practical knowledge of the fundamentals of Azure Data Engineering and cloud data solutions. The plan is market-oriented based on market requirements, with improved employability and technical expertise in Azure environments. Career guidance and personal mentorship ensure that students get the best jobs in the profession.

The course of Azure Data Engineering presupposes the knowledge of the basics of programming (Python or SQL) skills and the familiarity with the concept of databases, as well as the concept of the cloud. Prior knowledge in the field of IT/computer science can be an advantage, but the beginners can start with introduction modules provided. The institute is also equipped with preparatory programs of people who are not yet familiar with the cloud data engineering.

Version IT focuses on practical labs, live projects on Azure systems and case studies, allowing students to develop actual data pipelines and solve problems of cloud data. In the course, there are frequent assessments and feedback to constantly improve the skills. The strategy makes students employment-viable with robust problem-solving skills on the clouds.

After completing the course, you will receive industry-accepted certification of Azure Data Engineering. The certificate confirms the knowledge on Azure cloud data technologies, which enhances trust in employers. It contributes great value to professional profiles and resumes in seeking Azure Data Engineering jobs.

We provide students with special placement services, such as resume building, interview preparation, and Azure job roles mock classes. The institute also collaborates with leading IT and cloud services, and thus it provides graduates with job placement. Frequent career workshops and networking also contribute towards successful placement.

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