Azure Data Engineer Training in Chennai
According to Microsoft, 365,000 businesses register for the Azure platform every year. The Global data analytics market is expected to grow at a rate of 30% CAGR in 2030. This indicates the high demand of Microsoft Azure Data Engineers. Azure data engineering is one of the fastest-growing technologies in the market.
Microsoft Azure Data Engineering training in Chennai at Credo Systemz is the industrial standard course. This Azure Data Engineering course is handled by Skilled Azure expert trainers. Our Professional training focuses on Job oriented Azure Data Engineering sessions.The industrial instructors assure exam ready, job ready training using live projects as well.
Azure Data Engineer Training Features
To become an Azure Data Engineer, Credo Systemz Microsoft Azure Data Engineering training is the best. This Azure Data Engineer training in Chennai provides the exclusive Professional Real time training. To advance in the cloud computing profession, we ensure industrial skills development. With hands-on training, our Azure Data Engineer course in Chennai covers Big Data Engineering on Microsoft Cloud. Learn Azure Data Engineering training using our skilled Azure experts.
Key Features
Training from
Industrial Experts
24 x 7
Expert Support
Hands on
Practicals/ Projects
Certification
of Completion
100% Placement
Assistance
Free
Live Demo
COURSE CONTENT
Azure Data Engineer Course Overview
This Azure Data Engineer course is framed to expertise in designing, implementing data solutions using Azure data services. It is suitable for data engineers and IT developers. Each training course is practical oriented and in-built skills development. If you are preparing for the DP-203, join our Azure Data Engineer course in Chennai.
- Firstly, essential skills to design data storage structures and develop partitioning strategy using live sessions.
- Knowledge of developing and implementing serving layers and logical data structures.
- With practical training, learn to perform Ingesting and transforming of data in our Azure Data Engineer training.
- Using Azure Databricks and Stream Analytics, ensure to know developing stream processing solutions.
- Importantly, Knowledge of design and develop data security using expert trainers
- In our Azure Data Engineer course, skills acquired to monitor and optimize data storage and data processing
Course Features
- Duration60 hours
- Skill levelAll level
- Batch Strength15
- AssessmentsYes
- Mock InterviewsYes
- Resume BuildingYes
- PlacementsYes
- Flexible TimingYes
- Fee InstallmentsYes
- LanguageTamil/English
- Implement a partition strategy for files
- Implement a partition strategy for analytical workloads, streaming workloads
- Implement a partition strategy for Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- How to create and execute queries
- Compute solution that leverages SQL server less and Spark cluster
- Recommend and implement Azure Synapse Analytics database templates
- Data lineage to Microsoft Purview
- Browse and search metadata in Microsoft Purview Data Catalog
- Design and implement incremental loads
- Transform data by using Apache Spark, Transact-SQL (T-SQL)
- Ingest and transform data by using Azure Synapse Pipelines or Azure Data Factory
- Transform data by using Azure Stream Analytics
- What is Cleanse data
- How to handle duplicate data
- How to handle missing data
- How to handle late-arriving data
- What is Split data
- Concept of Shred JSON
- Encode and decode data
- Configure error handling for a transformation
- Normalize and denormalize data
- How to perform data exploratory analysis
Develop batch processing solutions by using
- Azure Data Lake Storage
- Azure Data bricks
- Azure Synapse Analytics
- Azure Data Factory
- Use Poly Base to load data to a SQL pool
- Implement Azure Synapse Link and query the replicated data
- To create data pipelines
- What is Scale resources
- Configure the batch size
- To create tests for data pipelines
- Integrate Jupyter or Python notebooks into a data pipeline
- Upsert data
- Revert data to a previous state
- Configure exception handling, batch retention
- Read from and write to a delta lake
- Create a stream processing solution by using Stream Analytics and Azure Event Hubs
- Process data by using Spark structured streaming
- Create windowed aggregates
- Handle schema drift
- Process time series data
- Process data across partitions
- Process within one partition
- Configure checkpoints and watermarking during processing
- Scale resources
- Create tests for data pipelines
- Optimize pipelines for analytical or transactional purposes
- Handle interruptions
- Configure exception handling
- Upsert data
- Replay archived stream data
- Trigger batches
- Handle failed batch loads
- Validate batch loads
- Manage data pipelines in Azure Data Factory or Azure Synapse Pipelines
- Schedule data pipelines in Data Factory or Azure Synapse Pipelines
- Implement version control for pipeline artifacts
- Manage Spark jobs in a pipeline
- Implement data masking
- Encrypt data at rest and in motion
- Implement row-level and column-level security
- Implement Azure role-based access control (RBAC)
- Implement POSIX-like access control lists (ACLs) for Data Lake Storage Gen2
- Implement a data retention policy
- Implement secure endpoints (private and public)
- Implement resource tokens in Azure Databricks
- Load a DataFrame with sensitive information
- Write encrypted data to tables or Parquet files
- Manage sensitive information
- Implement logging used by Azure Monitor
- Configure monitoring services
- Monitor stream processing
- Measure performance of data movement
- Monitor and update statistics about data across a system
- Monitor data pipeline performance
- To measure query performance
- How to schedule and monitor pipeline tests
- Interpret Azure Monitor metrics and logs
- How to implement a pipeline alert strategy
- Compact small files
- How to handle skew in data
- Handle data spill
- Optimize resource management
- Tune queries by using indexers, cache
- Troubleshoot a failed Spark job
- Troubleshoot a failed pipeline run, including activities executed in external services
You will be going through detailed 2 to 3 months of Azure Developer AZ 203 certification Hands-on training
- Detailed instructor led sessions to help you become a proficient Expert in Azure Developer AZ 203 certification.
- Build a Azure Developer AZ 203 certification professional portfolio by working on hands on assignments and projects.
- Personalised mentorship from professionals working in leading companies.
- Lifetime access to downloadable Azure Developer AZ 203 certification course materials, interview questions and project resources.

Credo Systemz - Velachery, Chennai
Call Us +91 9884412301

Credo Systemz - OMR, Chennai
Call Us +91 9600112302
Azure Data Engineer
Azure Data Engineers are hired constantly by top organizations to use the full stack Azure data services. These professionals are responsible for converting unstructured data into smart structured data. Azure Data Engineers design, implement the management, monitoring, security, and privacy of data using Microsoft Azure.
Azure Data Factory Training for DP-203
Our Azure Data Factory Training aims at acquiring the essential skills of DP-203 to perform cloud-based data integration service. This Azure Data Factory Course provides standard knowledge to achieve
- Data Integration
- Data Integration
- Data Transformation
- Data Movement
- Data Orchestration
- Data Monitoring
- Integration with Azure Services
Our DP-203 practical training is handled by experienced Azure Certified trainers. We offer the necessary modules DP-203 from basic to advanced level. Our Trainers assure hands-on DP-203 sessions using real world practices. This Azure Data Factory Course assists the aspirants into Azure professionals with Data Engineering knowledge.
Highlights of Our Azure Data Engineering Training
The main aim of this Azure Data Engineer course is to develop the inbuilt skills of Azure Data Engineer. The highlights of our Microsoft Azure Data Engineering training is given below:
Professional Syllabus: This Azure Data Engineering training follows the standard syllabus to become DP-203 exam ready and job ready.Real Time Training: To develop the top skills, live practical training is provided in this Azure Data Engineering certification training.
Standard Training from scratch: This Azure Data Engineering training in Chennai starts from the basics like:
- Data processing languages
- Parallel processing.
- Data architectural patterns.
- Azure fundamentals.
Dp-203 Exam Support:This Azure Data Engineering certification course ensures professional guidance to complete DP-203 exam.
Placement Assistance:This Certification training assure 100% placement using our excellent HR team.
Trainers Profile - Azure Data Engineering Course
In our Azure Data Engineer course, We offer the skilled expert trainers with the following qualities:
- Our Expert trainers are top MNC professionals as Azure Data Factory. They assure comprehensive guidance to gain deep knowledge in this azure data engineer training in Chennai.
- With 15+ years of industrial experience, Instructors ensure interactive, real time training. They explain the data engineering principles, methods, and technologies effectively.
- Our Trainers provide the Microsoft data engineering certification in Chennai with 75% practical + 25% theory. They offer real-world examples, scenarios, case studies and live projects.
- In our Azure data engineering certification training in Chennai, the trainer assists in interview and career growth. They help in professional resume building, interview support using interview Q & A and mock interviews.
- Our trainers support the aspirants using doubt clearance sessions, clear explanations, and real world projects. They also ensure career counseling, career guidance and lifetime support.
FAQ
This Azure Data Engineer Training is designed to learn how to design and implement data solutions using Microsoft Azure. It is suitable for:
- Data professionals
- Developers
- IT professionals
- Anyone who wants to learn about the various Azure services to implement data solutions.
Our free demo classes are very useful to the aspirants in
- Understanding the Azure Data Engineering syllabus, course process and class sessions
- Interacting with the trainers
- To book this Azure Data Engineering course.
- Call Us:
Velachery: +91 98844 12301
OMR: +91 96001 12302
The main use of Azure Data Factory is to perform data integration and orchestration in a cloud environment. It provides a comprehensive set of tools and services to build and manage data pipelines. Azure Data Factory is a cloud-based data integration service. It can ingest, transform, and move data between various data sources and destinations.
The Main functionalities of Azure Data Factory are:
- Data Integration from diverse sources such as databases, files, on-premises systems, cloud services, and more.
- To transform and process data using built-in data transformation activities.
- Azure Data Factory allows you to move data efficiently between different data stores and services.
- To perform data orchestration and workflow, Azure Data Factory provides capabilities for complex data workflows.
- Azure Data Factory offers monitoring and management features to track the execution of data pipelines.
- To integrate with other Azure Services, Azure Data Factory is used with additional functionalities.
Credo Systemz Azure Data Factory online training is the Practical oriented DP-203 training program. Our Azure Data Factory online Course provides
- Live instructor-led DP-203 Training: Our DP-203 course offers theory + Practical oriented DP-203 sessions.
- 100% Real Time DP-203 Practicals: This Azure Data Engineering Training ensures developing the in-built DP-203 knowledge.
- Top Industrial Professionals: Our DP-203 Training course assures experienced Azure certified Mentors.
- Real World Projects: Our DP-203 Training provides Real world Azure Data Engineering Projects. It helps to build industrial experience and practical training.
- Professional resume building,
- Mock interviews,
- Career guidance,
- Latest Job news,
- Lifetime support.