Azure Data Engineer Training in Bangalore
Enroll for Master Azure Data Engineering Training in Bangalore with Version IT. Learn industry related skills such as data warehousing, big data analytics and pipeline management.
⭐ 4.9/5 Rating
Based on 6,000+ student reviews
🎓 10,000+ Enrolled
Students worldwide
👨🏫 10+ Years Experience
Industry expert trainers
⭐ 4.9/5 Rating
Based on 6,000+ student reviews
📅 Course Duration
5 Months
💰 Course Price
₹ 30000
📄 Course Content
Azure Data Engineer Course Overview
This Microsoft Azure data engineering career is highly marketable because of the growing demand of professionals in this field. To help individuals polish their azure data engineering skills, Version IT provides the best Azure data engineer training in Bangalore. We have customers who know how to use cloud data solutions and best practices with Azure data factory, synapse analytics, data bricks and Azure data services such as Cosmos DB.
Our instructors are professionals of the industry who provide full training using real -life conditions. For information about our azure data engineering training in Chennai, now contact us and start exercising to become a certified azure data engineer.
Best Azure Data Engineering Training in Bangalore
Version IT offers its students the most effective online training of an Azure Data engineer so that they become knowledgeable in data-oriented jobs. We provide training to those who wish to achieve azure data engineer certification and acquire some knowledge on cloud-based data engineering in the process. As a beginner or an experienced business man, our azure data engineering course in Chennai offers you the most viable path towards career advancement.
Key Features of Version IT’s Azure Data Engineering Training in Bangalore
Here is why Version It is the top Azure Data Engineer Training Institute in Bangalore:
Flexible teaching structure The combination of platforms and ease of learning offers modern students a chance to increase and adapt their learning in the simplest way. | Learn from expert instructors Learn from culture-transported trainers who bring a treasure of experience from the workplace. Learn practical skills and strategies that will assure success in your field. |
Unlimited practical class Learn from the above culture that the trainers without the limit through increased sessions to intensify their skills in a practical way on a constant basis. | Internship opportunity Enter your career with the experience of the relevant industry through our internship program. Projects will be handed over to work even after taking advantage of one-on-one advice to prepare you for various challenges. |
Interview and career guidance Complete the great heights in your career with interview tips and proper training with career goals obtained under your personal guidance. | Endless job opportunities Jump starts your career with a job crowd where anyone can get many job opportunities and build a successful career without limit. |
Available Azure Data Engineering Training Options in Bangalore
Detailed Azure Data Engineering Course Syllabus
- Introduction to Azure Data Engineering
- Azure data collection
- Data engine
- Data change
- data integration
- Data orchestration
- Data monitoring and management
- data governance
- Data security
- Advanced subject
Certification Path for Azure Data Engineering In Bangalore
Our training is associated with certification programs, and on completion of all necessary projects, you will get a certificate of completion of a course from Version IT along with other relevant certificates.
This skill credential verification that you have successfully completed all assignments, exercises, projects and case studies.
This certificate can be shared to help enhance your professional image on LinkedIn, Facebook, Twitter and more.
Main attraction
- SOPs were prepared in view of the deep knowledge of data analytics services on Azure Synapse, Azure Data Factory, Azure Security, and Data Analytics services on distributed data processing.
- A specialist gave lectures on the construction of distributed data systems, cloud computing and azure data pipeline.
- The program aims to be completed by mid -level software developers, system administrators, cloud architects, data engineers, information technology safety experts and azure data engineering devops advisors.
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
Let Your Certificates Speak
- Comprehensive training in Azure Data.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.
All You Need to Start this Course
- Engaging and interactive course content.
- Expert-led instruction for a deeper understanding.
FAQ's
Through this training, you will develop strong specialization in data warehousing, big data analytics and ETL process design. You will also learn to manufacture, manage and adapt to complex data pipelines on Azure. Hands full of projects will increase your understanding of real-world applications. Finally, you will be confidently equipped to manage enterprise-scale data solutions.
The training course usually takes about 8 to 12 weeks to end, based on the selected teaching format. The instructor -led classes may take longer than intense boot camps. Self-book learners can complete it quickly, although the project work can expand the timeline. The duration ensures adequate coverage of both theory and the practice on both hands.
Azure data engineering stands out due to its deep integration with the ecosystem of Microsoft. It provides advanced analytics, AI-powered insight and well-organized pipeline management. Unlike many platforms, it provides cost -effective scalability for enterprise needs. It’s built -in security and governance also make it a favorite option for enterprises.
The cost of Azure data engineering training may vary widely depending on the institution and course type. On average, the fees can range from moderate to premium pricing. Courses including certification preparations, live projects and placement support are higher. Investing in these programs usually gives strong career returns in the technical market.
After completing the course, you can work in various data-centric roles. General occasions include data engineers, azure data analysts and BI developers. Many professionals also go into roles like Big Data Engineer or Cloud Data Architect.
