Easily run and scale Apache Spark, Hive, Presto, and other big data workloads.

Amazon EMR is a cloud big data platform for running large-scale distributed data processing jobs, interactive SQL queries, and machine learning (ML) applications using open-source analytics frameworks such as Apache Spark, Apache Hive, and Presto.

Do you need to operate, and scale your big data environments by automating time-consuming tasks? The Building Batch Data Analytics Solutions on AWS course will help you learn how to build batch data analytics solutions using Amazon EMR to optimize cost and performance.

Malaysia is rapidly becoming a hub for Data and AI innovation, fueled by multi-billion-dollar investments from global tech giants.​ Bridge the Data and AI skills gap with Trainocate’s top Data and AI certifications for 2026.

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Overview

Build batch data analytics solutions using Amazon EMR to optimize cost and performance.

  • Learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service.
  • Learn how Amazon EMR integrates with open source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation.
  • Learn to use EMR Notebooks to support both analytics and machine learning workloads.
  • Learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

Trainocate is an AWS Authorized Training Partner as well as the AWS Global Training Partner of the Year 2022-2025 is trusted by AWS to offer, deliver, and/or incorporate official AWS Training, including classroom and digital offerings.

Whether your team prefers to learn from live instructors, on-demand courses, or both, ATPs offer a breadth of AWS Training options for learners of all levels.

Skills Covered

In this course, you will learn to:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a batch data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

Prerequisites

Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.

We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop. We recommend that attendees of this course have:

Target Audience

This course is intended for:

  • Data platform engineers
  • Architects and operators who build and manage data analytics pipelines

Course Curriculum

Module A: Overview of Data Analytics and the Data Pipeline

Data analytics use cases
Using the data pipeline for analytics

Module 1: Introduction to Amazon EMR

Using Amazon EMR in analytics solutions
Amazon EMR cluster architecture
Interactive Demo 1: Launching an Amazon EMR cluster
Cost management strategies

Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage

Storage optimization with Amazon EMR
Data ingestion techniques

Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR

Apache Spark on Amazon EMR use cases
Why Apache Spark on Amazon EMR
Spark concepts
Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell
Transformation, processing, and analytics
Using notebooks with Amazon EMR
Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR

Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive

Using Amazon EMR with Hive to process batch data
Transformation, processing, and analytics
Practice Lab 2: Batch data processing using Amazon EMR with Hive
Introduction to Apache HBase on Amazon EMR

Module 5: Serverless Data Processing

Serverless data processing, transformation, and analytics
Using AWS Glue with Amazon EMR workloads
Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions

Module 6: Security and Monitoring of Amazon EMR Clusters

Securing EMR clusters
Interactive Demo 3: Client-side encryption with EMRFS
Monitoring and troubleshooting Amazon EMR clusters
Demo: Reviewing Apache Spark cluster history

Module 7: Designing Batch Data Analytics Solutions

Batch data analytics use cases
Activity: Designing a batch data analytics workflow

Module B: Developing Modern Data Architectures on AWS

Modern data architectures

Dates & Locations

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July 15, 2026 - July 15, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800

July 15, 2026 - July 15, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1800

October 14, 2026 - October 14, 2026

Location: Kuala Lumpur
Modal: ILT
Availability: TBC
RM 1800

October 14, 2026 - October 14, 2026

Location: Online
Modal: VILT
Availability: TBC
RM 1800
Trainocate exam and cert

Exam & Certification

There is no exam directly associated with this course. However, AWS offers an extensive portfolio of industry-recognized certifications that can help you stand out as a tech professional in 2026 and beyond. Achieving AWS credentials is one of the most effective ways to validate your skills and accelerate your career.

With our expert-led training, you’ll be prepared to:

  • Master in-demand capabilities across Cloud, Data & AI, and Cybersecurity — areas driving global digital transformation.
  • Prove your expertise with a globally respected credential recognized by employers worldwide.
  • Advance your career by enhancing your credibility, increasing your earning potential, and opening doors to new opportunities.

Explore our top AWS Certifications for 2026 and start building the skills that matter today.

Training & Certification Guide

AWS-BDAS: Building Data Analytics Solutions Using Amazon Redshift

In this AWS-BDAS: Building Data Analytics Solutions Using Amazon Redshift course, you will build a data analytics solution using Amazon Redshift, a cloud data warehouse service. The course focuses on the data collection, ingestion, cataloging, storage, and processing components of the analytics pipeline.

AWS-BSDAS: Building Streaming Data Analytics Solutions on AWS

This Building Streaming Data Analytics Solutions on AWS course dives deep into Amazon Kinesis and Amazon MSK through a mixture of instructor-led presentations, practice labs, demonstrations, and class exercises so you can walk away understanding how to build a streaming data analytics solution on AWS.

AWS-AVAUAQ: Authoring Visual Analytics Using Amazon QuickSight

In this Authoring Visual Analytics Using Amazon QuickSight course, you will build a data visualization solution using Amazon QuickSight. QuickSight allows everyone in your organization to understand your data by exploring through interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers powered by machine learning.

AWS-ADVARC: Advanced Architecting on AWS

In this AWS-ADVARC: Advanced Architecting on AWS training course, each module presents a scenario with an architectural challenge to be solved. You will examine available AWS services and features as solutions to the problem.

Validate Your Skills with AWS Certification

Certification is the one of the best ways to validate your cloud skills. And AWS Certifications are industry-recognized credentials. And AWS Certifications, in particular, are industry-recognized credentials that showcase your expertise in the AWS Cloud. This e-book provides an overview of what you need to know to earn an AWS Certification, acting as your guide throughout the process. It will help you determine which AWS Certifications are right for you and show you how to prepare for and obtain them.

Training and Certification for your Machine Learning Journey

Organizations are struggling to find data scientists and developers with machine learning experience. Learn how you can become the machine learning problem-solver others look to. In this eBook, we’ll review the promise of machine learning and how innovations in training and certification give developers and data scientists an advantage by equipping them with the skills to help their organizations achieve success.

Innovate Securely and Confidently with AWS Training and Certification

Across nearly every industry, organizations are discovering a greater need to empower every employee with cloud security skills. This e-book will guide you on how AWS Training and Certification can help your organization innovate securely and confidently by offering flexible in-demand digital training that can help your teams build security skills quickly and comprehensively.

How people are bringing the possibilities of purpose-built databases to life

It’s time to push the limits of innovation by building your database of skills. The power of data has grown at an exponential rate over the last several years. It has created a new universe of possibilities for applications, services and beyond. In this e-book, we’ll introduce you to effective methods of building your database skills. We’ll help you start your journey and propel you into this new universe of data empowering you to explore and innovate throughout the ever-growing expanse of purpose-built database possibilities.

Accelerate Your Modernization Journey

Develop skills in designing, building and managing modern applications. As companies look to become more agile so they can innovate and respond to change faster and innovate rapidly, this inadvertently requires a different kind of application than what was common years ago. This e-book gives you insights on the importance of training and skilling to accelerate your company’s digital transformation.

Accelerate Migration with Comprehensive Cloud Skills Enablement

As benefits of the cloud like speed, scale and modernization have become more widely understood, the conversation at many organizations has shifted from “why cloud?” to “which cloud?” Thousands of companies, including GE, The Coca-Cola Company, BP, Enel, Samsung, News Corp, and 21st Century Fox, have found their answer with AWS.

AWS also helps provide the answer to another critical questions in your cloud journey: “How to get to the cloud in the fastest, most efficient way possible?” A transformative migration is now within your reach. Now you can learn how you can migrate with your confidence by building your team’s cloud skills with AWS Training and certification by downloading this e-book.

10 Reasons to learn the AWS Cloud

It does not matter you’re new to AWS Cloud services, seeking to update your cloud skills, or exploring a cloud-first strategy for your organization it’s time to make a plan. Download this free E-Book and learn how AWS Training can help you better understand how the AWS Cloud works and how you can troubleshoot with confidence and skill.

Frequently Asked Questions

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