Radical Technologies
CLOUD COMPUTING - AZURE
★★★★★
(2,095 ratings)  50,000+ Student

AZURE SYNAPSE ANALYTICS – BASIC TO ADVANCED

The Azure Synapse Analytics – Basic to Advanced syllabus covers end-to-end analytics on Microsoft Azure, including data warehousing, big data processing, SQL pools, Spark, data integration, and performance optimization. It explains how Synapse unifies data engineering, analytics, and reporting on a single platform. This syllabus is important because it enables organizations to analyze large-scale data efficiently and make data-driven decisions in real time. It is best suited for data engineers, BI professionals, analytics engineers, cloud professionals, and graduates aiming to build a career in modern data analytics on Azure.

RT
Radical Technologies
50,000+ English 50 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

AZURE SYNAPSE ANALYTICS – BASIC TO ADVANCED

IT Training Programme

Duration 50 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

21 sections covering the complete curriculum — a single, progressive learning arc.

50 hours
Training Duration
21
Core Modules
127
Total Lessons
4.6
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a CLOUD COMPUTING - AZURE role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

21 sections  •  127 lessons  •  50 hours

01 Prerequisites
✔ SQL fundamentals
✔ Data Warehouse & ETL concepts
✔ Basic Azure knowledge
02 OPTION A: 50-HOUR ADVANCED SYLLABUS

AreaHours

Core Synapse & Architecture
30
Advanced Analytics & Integration
10
Enterprise Projects
6
Assignments & Interview Scenarios
4

Total

50 Hours

03 MODULE 1: Modern Data & Analytics Architecture (3 Hours)
Evolution of analytics platforms
OLTP vs OLAP vs HTAP
Data Warehouse vs Data Lake vs Lakehouse
Enterprise analytics reference architectures
Azure analytics ecosystem deep dive

Lab

Azure subscription & environment setup
04 MODULE 2: Azure Synapse Architecture – Deep Dive (5 Hours)
Synapse Analytics overview
Workspace architecture
Synapse Studio components
Serverless SQL Pool – use cases
Dedicated SQL Pool – enterprise workloads
Apache Spark pools
Data Explorer (overview)
Cost & scalability planning

Lab

Create and configure Synapse workspace
Link storage & compute
05 MODULE 3: Azure Data Lake Gen2 – Enterprise Governance (5 Hours)
Enterprise Data Lake design principles
Bronze / Silver / Gold zones
File format strategy
Partitioning & folder standards
Security model (RBAC & ACL)
Data lifecycle & retention
Naming, tagging & governance

Lab

Design enterprise-grade Data Lake structure
06 MODULE 4: Synapse SQL Pools – Enterprise Usage (6 Hours)

Serverless SQL Pool

Ad-hoc analytics use cases
Schema-on-read concepts
Cost-eeicient analytics

Dedicated SQL Pool

MPP architecture
Data distribution strategies
Indexing concepts
Data loading strategies
Workload management
Performance monitoring & tuning concepts

Lab

Design enterprise data warehouse schema
07 MODULE 5: Apache Spark in Synapse – Advanced Concepts (6 Hours)
Spark architecture in Synapse
Spark pool configuration
Spark vs SQL decision matrix
Large-scale data processing lifecycle
Delta Lake architecture
Incremental processing concepts
Performance & scalability planning

Lab

Design Spark-based transformation workflows
08 MODULE 6: Synapse Pipelines – Enterprise ETL/ELT (4 Hours)
Synapse Pipelines architecture
Comparison with Azure Data Factory
Linked services & datasets
Parameterization strategy
Scheduling & orchestration
Error handling & retries
CI/CD concepts for pipelines

Lab

Build end-to-end data integration workflow
09 MODULE 7: Security, Monitoring & Cost Optimization (4 Hours)
Workspace-level security
SQL & Spark access control
Data masking & encryption concepts
Monitoring with Azure Monitor
Cost control & optimization strategies
Capacity planning

Lab

Secure and monitor Synapse workloads
10 MODULE 8: Power BI & Downstream Integration (3 Hours)
Power BI integration patterns
Import vs DirectQuery
Semantic model design
Performance optimization concepts
Sharing & governance

Lab

Create enterprise BI reporting workflow
11 MODULE 9: Enterprise Projects (6 Hours)

Project 1: Enterprise Data Warehouse on Azure Synapse

End-to-end analytics architecture
Data Lake + DW implementation
Analytics & reporting enablement

Project 2: Big Data Analytics Platform

Large-scale data processing design Cost-optimized analytics using Synapse
12 MODULE 10: Assignments & Interview Scenarios (4 Hours)
Architecture design assignments
Performance troubleshooting scenarios
Cost optimization case studies
Production issue handling
Real MNC interview questions
13 OPTION B: 60-HOUR MASTER / ARCHITECT-LEVEL SYLLABUS

AreaHours

Core & Advanced Synapse
34
Advanced Integrations & Real-Time Analytics
10
Enterprise Projects
10
Interview, Architecture & Case Studies
6

Total

60 Hours

14 ADDITIONAL MODULES (Beyond 50 Hours)
ADDITIONAL MODULES (Beyond 50 Hours)
15 MODULE 11: Near Real-Time & Streaming Analytics (4 Hours)
Batch vs streaming analytics
Event-driven analytics architecture
Integration with Event Hubs
Near real-time reporting use cases
16 MODULE 12: Advanced Integrations (4 Hours)
Synapse with Azure Databricks
Synapse with Azure Machine Learning
Data science integration scenarios
AI-driven analytics overview
17 MODULE 13: CI/CD & DevOps for Synapse (3 Hours)
Source control integration
Environment promotion (Dev → Test → Prod)
Release management concepts
Infrastructure-as-Code overview
18 MODULE 14: Enterprise-Scale Projects (10 Hours)

Capstone Project: Enterprise Analytics Platform

Multi-source data ingestion
Data Lake governance
Hybrid SQL + Spark architecture
Secure analytics environment
BI & advanced analytics integration

Deliverables

Architecture diagrams
Design documents
Project walkthrough (resume-ready)
19 MODULE 15: Architect-Level Scenarios & Interview Prep (6 Hours)
Synapse vs Databricks vs Fabric
Handling petabyte-scale data
Cost explosion troubleshooting
Security breach response
Migration from on-prem DW to Azure
Senior-level interview case studies
20 🎯 FINAL LEARNING OUTCOME (50 / 60 Hours)
After completing this program, learners can:
✅ Design enterprise analytics architectures
✅ Implement and govern Azure Synapse platforms
✅ Handle large-scale production workloads
✅ Optimize performance, security & cost
✅ Clear senior-level interviews confidently
21 🏆 CERTIFICATION ALIGNMENT
DP-203 – Azure Data Engineer Associate
PL-300 – Power BI Data Analyst
AZ-305 – Azure Solutions Architect (Analytics exposure)

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

127+
Hands-On Lessons
21
Core Modules
50 hours
Training Duration
100%
Practical Training

You don't just learn AZURE SYNAPSE ANALYTICS – BASIC TO ADVANCED. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

No upcoming batches scheduled right now. Enquire to get notified.

Why Radical Technologies

Live Online Training
  • Highly practical oriented training
  • Installation support on your system
  • 24/7 Email and Phone support
  • 100% Placement Assistance
  • Global Certification Preparation
  • Trainer-Student Interactive Portal
  • Assignments and Projects by Mentors
Live Classroom Training
  • Weekend / Weekdays / Morning / Evening batches
  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
  • Easy make-up for missed sessions
  • PSI | Kryterion | Redhat Test Centers
  • Lifetime Video Classroom Access (coming soon)
  • Resume Prep and Mock Interviews
Self-Paced Training
  • Learn 300+ courses at your own time
  • 50,000+ Satisfied Learners
  • Course Completion Certificate
  • Practical Labs available
  • Mentor Support available
  • Doubt Clearing Session available
  • 10% Discounted Global Certification

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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

Career Support

Course Completed? Need next steps?
Need Interview Supports?
Need Job Assistance?
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Join our Brush-up Session & get support until you find a job!

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Radical Learning Eco-System

Exam Simulator

Cloud SandBox

Hands-on Cloud Lab

Developer Coding Ground

Student Reviews

4.6★
Average learner rating
50K+
Students trained
30+
Hiring companies alumni work at
100%
Placement assistance
4.6
★★★★★

Course Rating

★★★★★
73%
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5%
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1%
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AZURE SYNAPSE ANALYTICS – BASIC TO ADVANCED Interview Questions

10 questions commonly asked in AZURE SYNAPSE ANALYTICS – BASIC TO ADVANCED interviews.

  1. 01 What are the primary benefits of using Revit MEP in Building Information Modeling (BIM) compared to traditional CAD tools?
  2. 02 Can you explain the workflow for designing an HVAC system in Revit MEP, including load calculations and duct placement?
  3. 03 How do you perform clash detection in Revit MEP, and what steps do you take to resolve detected conflicts?
  4. 04 Describe the process of creating custom parametric components (families) in Revit MEP and provide an example of their practical use.
  5. 05 What tools in Revit MEP are used for energy analysis, and how can they help in designing sustainable building systems?
  6. 06 How do you manage collaboration between mechanical, electrical, and plumbing teams within a Revit MEP project?
  7. 07 What are the best practices for optimizing Revit MEP models to ensure smooth performance, especially in large-scale projects?
  8. 08 How would you use Revit MEP to design and analyze fire protection systems, including sprinkler layouts and pipe routing?
  9. 09 What steps would you take to ensure compliance with local building codes and standards when designing electrical systems in Revit MEP?
  10. 10 Can you explain how schedules and material takeoffs are generated in Revit MEP and their significance in project documentation?

Azure Synapse Analytics Course Certification with Training In Pune

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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies

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