Big Data on AWS Certification Training

Design and create efficient and secure big data environments

  • Learn about cloud-based big data solutions on AWS  
  • Use AWS tools for data processing and creating Big Data environments  
  • Clear the exam and become AWS Certified Data Analytics Specialist 
  • 400,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Design Powerful Big Data Solutions

Data is everywhere and the Big Data on AWS course prepares you to design and create cloud-based Big Data solutions. Use tools from the AWS suite like Amazon EMR and Hadoop tools like Hive and Hue to process data, and Amazon Redshift and Amazon Kinesis to design and create Big Data environments that are built for cost efficiency, stability, and security.

..... Read more
Read less


  • 3 Days of Live, Instructor-Led Training

  • Taught by Amazon Certified Trainer

  • Prep for AWS Certified Data Analytics – Specialty exam

  • Learn to design and create Big Data environments

  • Understand the right tools for Big Data workloads

  • Design and build for security and cost efficiency

Accredited by

The KnowledgeHut Edge

Instructor-Led Experience

Engage with certified instructors who are also seasoned industry experts. Learn, listen, explore, and apply!

Carefully Curated Curriculum

Stay globally relevant and learn the latest techniques with the most up-to-date courseware

Learn By Doing

Get practical case studies, exercises, and unlimited practice in work-like environments

Learn Directly from Industry Experts

Learn from the best in the industry, work with mentors who are experienced professionals in their fields

Advance From the Basics

Learn the fundamentals and advance your learning on cloud-based technologies with guidance on tools and techniques

Detailed Feedback

Get detailed reviews and feedback on your final projects from professional developers


Prerequisites for Big Data on AWS

  • Basic knowledge of big data technologies 
  • Working knowledge of core AWS services  
  • Completed Data Analytics Fundamentals training 
  • Completed the AWS Technical Essentials training

For more details, please refer to the FAQs 

Who Should Attend the Big Data on AWS Course

Solutions architects

SysOps administrators

Data scientists

Data analysts

Big Data on AWS Schedules

Can't find the batch you're looking for?

Request a Batch

What You Will Learn

Fundamentals of Big-Data

Learn the fundamentals of cloud-based big data solutions, including the usage of Apache Hadoop with Amazon EMR

Launch and Configure

Master the skill of launching and configuring an Amazon EMR cluster

Master Common Programming Frameworks

Use common programming frameworks for Amazon EMR, including Hive, Pig, and Streaming

Improve Usage

Learn to use Hue to improve and make the usage of Amazon EMR easy

Understand and Optimize AWS Services

Understand how services like AWS Glue, Amazon Athena, and Amazon QuickSight can be used with big data workloads

Learn In-memory Analytics

Understand and learn to use in-memory analytics with Spark on Amazon EMR

Transform Your Workforce

Configure and Manage Cloud-Based Solutions on AWS

Develop your team and empower them to use advanced AWS features to drive efficiency, and reliability in systems operations.

  • Leverage Immersive Learning
  • Develop and deploy cloud-based systems
  • Improve security and reliability in systems
  • Utilize AWS features, tools, and best practices 

500+ Clients

Big Data on AWS Curriculum

  • What is big data
  • The big data pipeline
  • Big data architectural principals
  • Overview: Data ingestion
  • Transferring data
  • Stream processing of big data
  • Amazon Kinesis
  • Amazon Kinesis Data Firehose
  • Amazon Kinesis Video Streams
  • Amazon Kinesis Data Analytics

Hands-on lab: Streaming and Processing Apache Server Logs Using Amazon Kinesis

  • AWS data storage options
  • Storage solutions concepts
  • Factors in choosing a data store
  • Big data processing and analytics
  • Amazon Athena

Hands-on lab: Using Amazon Athena to Analyze Log Data

  • Introduction to Amazon EMR and Apache Hadoop
  • Best practices for ingesting data
  • Amazon EMR
  • Amazon EMR architecture

Hands-on lab: Storing and Querying Data on Amazon DynamoDB

  • Developing and running your application
  • Handling output from your completed jobs
  • Launching your cluster
  • Hadoop frameworks
  • Other frameworks for use on Amazon EMR

Hands-on lab: Processing Server Logs with Hive on Amazon EMR

  • Hue on Amazon EMR
  • Monitoring your cluster

Hands-on lab: Running Pig Scripts in Hue on Amazon EMR

  • Apache Spark
  • Using Spark

Hands-on lab: Processing NY Taxi Data Using Apache Spark

  • What is AWS Glue?
  • AWS Glue: Job orchestration 
  • Data warehouses vs. traditional databases
  • Amazon Redshift
  • Amazon Redshift architecture 
  • Securing your Amazon deployments
  • Amazon EMR security overview
  • AWS Identity and Access Management (IAM) overview
  • Securing data
  • Amazon Kinesis security overview
  • Amazon DynamoDB security overview
  • Amazon Redshift security overview
  • Total cost considerations for Amazon EMR
  • Amazon EC2 pricing models
  • Amazon Kinesis pricing models
  • Cost considerations for Amazon DynamoDB
  • Cost considerations and pricing models for Amazon Redshift
  • Optimizing cost with AWS 
  • Visualizing big data

Frequently Asked Questions


The Big Data on AWS course gives you an understanding of performing cloud-based big data operations in an AWS environment.

Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena, and Amazon Kinesis, and designing big data environments for security and cost-effectiveness are some topics covered in this course.

Validate your technical skills and expertise with the AWS Certified Big Data – Specialty certification as it is intended for individuals who perform complex Big Data analyses with at least two years of experience using AWS technology.

By the end of this course, you will learn to:

  • Use Apache Hadoop with Amazon EMR
  • Launch and configure an Amazon EMR cluster
  • Use common programming frameworks for Amazon EMR, including Hive, Pig, and Streaming
  • Use Hue to improve the ease-of-use of Amazon EMR
  • Use in-memory analytics with Spark on Amazon EMR
  • Understand how services like AWS Glue, Amazon Kinesis, Amazon Redshift, Amazon Athena, and Amazon QuickSight can be used with big data workloads
To be eligible for this Big Data on AWS course, you should have:
  • Basic knowledge of big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
  • Completed Data Analytics Fundamentals free digital training or equivalent experience
  • Working knowledge of core AWS services and public cloud implementation
  • Completed the AWS Technical Essentials classroom training or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design

Workshop Experience

Currently all our courses are offered online as Live, interactive, trainer-led sessions where you will get to learn directly from the trainer with opportunities to discuss and clear doubts.

Our instructors are approved by AWS to lead these sessions. They also have industry experience and will instruct you on the practical aspects of what you are learning.

Our courses are delivered through live interactive virtual classrooms and can be structured according to the requirements of the course.

Our training focuses on interactive learning. Most class time is dedicated to hands-on exercises, lively discussions, and team collaboration, all facilitated by the trainer who is an experienced Power platform practitioner. The focus is on finding practical solutions to real-world scenarios in various projects environments, both big and small.

In an online classroom, students can log in at the scheduled time to a live learning environment that is led by an instructor. You can interact, communicate, view, and discuss presentations, and engage with learning resources while working in groups, all in an online setting. Our instructors use an extensive set of collaboration tools and techniques which improve your online training experience.

Internet Connectivity (2Mbps Link) and Laptop/PC (Windows/Mac) with 4GB RAM.

No, you do not need to record the sessions, the sessions will be auto recorded on our LMS, you will be able to refer to them.

Yes, you can switch your start date with prior notice of at least 24 hours and subject to availability in the desired batch.