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.

Radical Technologies

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

Online / Classroom

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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100% placement assistance

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

Core Modules

127

Total Lessons

4.4★

Average Rating

50K+

Students Trained

Foundations & Core Concepts

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

Fundamentals Architecture Setup

Hands-On Practical Training

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

Practicals Assignments Labs

Real-World Projects

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

Projects Portfolio Case Studies

Advanced Techniques

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

Advanced Integration Best Practices

Ecosystem Integration

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

Ecosystem Tools Platforms

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

Jump to Section

Total Duration

50 hours

100% Practical · Unlimited Doubt Sessions

01 Prerequisites

✔ SQL fundamentals

✔ Data Warehouse & ETL concepts

✔ Basic Azure knowledge

02 OPTION A: 50-HOUR ADVANCED SYLLABUS

AreaHours

Core Synapse & Architecture

Advanced Analytics & Integration

Enterprise Projects

Assignments & Interview Scenarios

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

Advanced Integrations & Real-Time Analytics

Enterprise Projects

Interview, Architecture & Case Studies

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

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

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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

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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.

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.