825 Ratings
Master enterprise-scale data analytics and data warehousing with Edubrights’ Azure Synapse Analytics training in Chennai. This course is designed for students, freshers, data engineers, data analysts, BI professionals, cloud architects, and working professionals who want to build modern analytics solutions using Microsoft Azure.
Gain hands-on experience with Azure Synapse Analytics, data integration, big data processing, data warehousing, ETL pipelines, Spark analytics, SQL pools, and real-world cloud analytics projects through practical industry use cases.
✅ Real-Time Azure Synapse Projects & Enterprise Analytics Use Cases
✅ Live Instructor-Led Training by Certified Azure Data Experts
✅ Hands-On Practice with Azure Synapse Analytics Platform
✅ Data Warehousing & Modern Analytics Architecture Concepts
✅ Dedicated SQL Pools & Serverless SQL Query Processing
✅ Apache Spark for Big Data Analytics & Data Engineering
✅ Data Integration & Pipeline Development Using Synapse Pipelines
✅ ETL/ELT Workflows for Enterprise Data Processing
✅ Integration with Power BI, Azure Data Lake & Azure Services
✅ Data Security, Governance & Access Control Best Practices
✅ Performance Optimization & Cost Management Strategies
✅ End-to-End Analytics Solution Development & Deployment
✅ Resume Building, Portfolio Development & Mock Interview Preparation
✅ Career Guidance, Placement Assistance & Certification Support
✅ Flexible Online, Classroom & Weekend Training Options
✅ Corporate Training for Data Engineering, Analytics & Cloud Teams
Build practical Azure Synapse expertise, develop scalable analytics solutions, and become industry-ready for careers in Data Engineering, Cloud Analytics, Business Intelligence, and Azure Data Technologies.

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Azure Synapse training covers unified data analytics solutions integrating big data and data warehousing. It teaches ingestion, exploration, preparation, management, and serving of data using SQL pools, Apache Spark, data pipelines, and Power BI for analysis.
The main objectives are to equip you with skills to build scalable analytics solutions, manage data lakes and warehouses, perform big data analysis, orchestrate data pipelines, and deliver data-driven business insights using Azure Synapse.
Yes. The course covers dedicated SQL pools, serverless analytics, Spark clusters, data lake integration, workload optimization, and scalable cloud analytics architecture.
Azure Synapse strengthens expertise required for data engineering, cloud analytics, enterprise reporting, business intelligence, and big data architecture roles.
Yes. The course includes data ingestion, ETL orchestration, Azure Data Factory integration, pipeline automation, and enterprise data transformation workflows.
Yes. Learners will build analytics pipelines, integrate cloud data sources, optimize warehouse performance, process large datasets, and generate business insights.
Project 1
Design a solution ingesting sales data from different sources, process it using Synapse pipelines, analyze with Spark and SQL pools, and visualize with Power BI.
Project 2
Set up real-time data ingestion of IoT sensor data, process it using Synapse streaming analytics, and build dashboards for live monitoring.
Project 3
Create enterprise ETL pipelines using Spark processing, Azure Data Factory integration, and cloud-native data transformation workflows.
Project 4
Implement a cloud analytics platform for financial reporting, transaction analysis, and enterprise risk management using Azure Synapse Analytics.
Project 5
Integrate Azure Data Lake with Azure Synapse to process structured and unstructured enterprise data for centralized analytics and reporting.
Edubrights offers Azure Synapse Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Module 1: Introduction to Azure Synapse Analytics
Module 2: Data Ingestion and Integration
Module 3: Data Storage and Management Using dedicated and serverless SQL pools Managing data lakes with Azure Data Lake Storage
Module 4: Data Exploration and Big Data Analytics
Module 5: Data Modeling and Querying
Module 6: Visualization and Reporting Integration
Module 7: Security and Compliance Management
Module 8: Real-world Case Studies and Hands-On Labs
Experience in the Industry Gain knowledge from experts with practical Azure Synapse project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Our institution offers a recognOur certification validates your ability to manage and analyze enterprise-scale data using Azure Synapse Analytics. It proves your competencies in data integration, big data processing, and creating actionable business intelligence. This certification enhances your technical profile and career prospects.ized Amazon EC2 certification validating your ability to deploy, secure, and scale cloud-based applications using EC2. This credential demonstrates hands-on expertise in cloud operations, automation, and best practices for real-world projects, powering your growth as a cloud computing professional.

Azure Synapse is an integrated analytics service combining data warehousing, big data, data integration, and AI in a single platform.
Data engineers, data analysts, BI professionals, and data scientists.
Yes, it supports batch processing with SQL and real-time streaming analytics.
SQL, T-SQL, Python, Spark SQL, Scala, .NET, R, and Java.
It works seamlessly to create and share visual reports and dashboards.
Yes, it uses MPP and serverless models for scalable big data analytics.
Data encryption, role-based access, auditing, and Azure Active Directory integration.
Yes, you can run ML models inside Synapse Studio.
Yes, based on usage of SQL pools, Spark pools, and data storage.
Data engineer, data analyst, BI developer, data scientist, and cloud architect.
Yes. The course provides practical expertise required for cloud data engineering and enterprise analytics platform positions.
Yes. The course includes Azure Data Lake integration, storage management, scalable data architecture, and cloud-native analytics implementation.
Cloud analytics platforms are critical because organizations require scalable data processing, real-time analytics, and centralized business intelligence capabilities.
Yes. Azure Synapse is widely adopted globally for enterprise analytics, cloud data warehousing, business intelligence, and large-scale data processing.
Yes. Azure Synapse expertise is highly valuable for professionals involved in data engineering, analytics modernization, and cloud-based enterprise reporting solutions.
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