Data Engineering

★★★★★

(2,095 ratings) 50,000+ Student

BIGDATA ON AWS

Big data on AWS (Amazon Web Services) refers to the utilization of AWS services and infrastructure for storing, processing, and analyzing large volumes of data. AWS provides a comprehensive set of tools and services specifically designed to handle big data workloads efficiently and effectively.

Radical Technologies

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

Online / Classroom

BIGDATA ON AWS

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

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

50 hours

Training Duration

Core Modules

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 Data Engineering 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

11 sections • 52 lessons • 50 hours

Jump to Section

Total Duration

50 hours

100% Practical · Unlimited Doubt Sessions

01 Module 1 : Introduction to Big Data on AWS

• Overview of big data concepts and challenges

• Introduction to AWS cloud computing services

• Understanding the AWS big data ecosystem

• Architectural considerations for big data on AWS

02 Module 2: Data Storage on AWS

• Overview of AWS storage services (S3, EBS, EFS, Glacier)

• Designing data storage solutions for big data workloads

• Data ingestion and data transfer methods

• Data lifecycle management and versioning

03 Module 3: Data Processing with AWS

• Introduction to AWS compute services (EC2, EMR, Lambda)

• Batch processing with AWS Elastic MapReduce (EMR)

• Real-time processing with AWS Lambda and Kinesis

• Serverless computing for big data workloads

04 Module 4: Data Warehousing and Analytics on AWS

• Introduction to AWS data warehousing services (Redshift, Athena, Glue)

• Designing and optimizing data warehouse architectures

• Querying and analyzing big data with AWS services

• Integration with business intelligence (BI) tools

05 Module 5: Streaming and Real-Time Analytics

• Introduction to AWS streaming services (Kinesis, Kafka)

• Real-time data ingestion and processing pipelines

• Real-time analytics with AWS services (Kinesis Analytics, Amazon Managed Streaming

for Apache Kafka)

• Monitoring and scaling real-time analytics solutions

06 Module 6: Big Data Orchestration and Workflow

• Introduction to AWS orchestration services (Step Functions, Data Pipeline)

• Designing and managing big data workflows on AWS

• Automating data pipelines and ETL processes

• Error handling and fault tolerance in data workflows

07 Module 7: Data Governance and Security

• Understanding data governance challenges in big data

• Data security and compliance considerations on AWS

• Identity and access management (IAM) for big data workloads

• Encryption and data protection mechanisms on AWS

08 Module 8: Data Visualization and Reporting

• Overview of data visualization tools and services

• Integrating AWS big data solutions with visualization tools (QuickSight, Tableau)

• Designing interactive dashboards and reports

• Data storytelling and effective visualization practices

09 Module 9: Big Data Cost Optimization and Performance

• Cost optimization strategies for big data workloads on AWS

• Selecting the right AWS services based on cost and performance requirements

• Monitoring and optimizing resource utilization

• Scalability and performance tuning techniques

10 Module 10: Advanced Topics and Emerging Trends

• Advanced analytics with AWS machine learning services (SageMaker, Comprehend,

Rekognition)

• Big data processing with AWS serverless technologies (Glue, Athena, Lambda)

• Exploring emerging trends in big data and AWS services

• Industry use cases and best practices

11 Big data on AWS (Amazon Web Services)

refers to the utilization of AWS services and infrastructure for storing, processing, and analyzing large volumes of data. AWS provides a comprehensive set of tools and services specifically designed to handle big data workloads efficiently and effectively. Some of the key services offered by AWS for big data include:

Amazon S3 (Simple Storage Service): AWS S3 is a highly scalable object storage service that allows you to store and retrieve large amounts of unstructured data. It is often used as a data lake to store raw data before processing.

Amazon EMR (Elastic MapReduce): EMR is a managed big data processing service that enables you to run distributed frameworks such as Apache Hadoop, Spark, and Presto on AWS. It simplifies the deployment and management of these frameworks and enables processing of large datasets in a scalable manner.

Amazon Redshift: Redshift is a fully managed data warehousing service that provides high-performance analytics for large-scale data sets. It is optimized for online analytical processing (OLAP) workloads and allows you to query and analyze data using SQL.

AWS Glue: Glue is a fully managed extract, transform, and load (ETL) service that helps you prepare and transform your data for analytics. It automatically generates ETL code and provides a serverless environment for data preparation tasks.

AWS Athena: Athena is an interactive query service that allows you to analyze data directly from Amazon S3 using standard SQL queries. It eliminates the need to set up and manage infrastructure and enables ad-hoc querying of large datasets.

Amazon Kinesis: Kinesis is a platform for real-time streaming data processing. It allows you to ingest, process, and analyze streaming data at any scale. Kinesis offers multiple services like Kinesis Data Streams, Kinesis Data Firehose, and Kinesis Data Analytics for different streaming use cases.

AWS Lambda: Lambda is a serverless computing service that allows you to run code without provisioning or managing servers. It can be used for data processing and integration tasks, such as transforming and enriching data as it flows through various AWS services.

AWS Data Pipeline: Data Pipeline is a web service for orchestrating and automating the movement and transformation of data between different AWS services and on-premises data sources. It simplifies the creation, scheduling, and management of data workflows.

These are just a few examples of the many AWS services available for handling big data. AWS provides a scalable and flexible platform for storing, processing, and analyzing large datasets, allowing organizations to leverage the power of big data for various purposes, including business intelligence, machine learning, and predictive analytics

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

52+

Hands-On Lessons

Core Modules

50 hours

Training Duration

100%

Practical Training

You don't just learn BIGDATA ON AWS. 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

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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.