Building Batch Data Analytics Solutions on AWS

Here you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will 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.

The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR.

This course is intended for Data platform engineers, Architects and operators who build and manage data analytics pipelines.

1 Day / 8 Hours

Live Class

Certificate on completion


Choose a date


Here’s what you’ll learn in this AWS course:

  • Compare the attributes and advantages of data lakes, data warehouses, and contemporary data architectures.
  • Create and put into action a batch data analytics system.
  • Determine the most effective methods for data storage, including compression, and use them.
  • Choose and implement the best alternatives for ingesting, transforming, and storing data.
  • For a specific business use case, select the proper clusters, auto-scaling, instance and node kinds, and network topology.
  • Recognize how data processing and storage impact the analysis and visualization techniques required to produce relevant business insights.
  • Secure analytics workloads to find and fix issues with data in transit and at rest.
  • Implement best practices for cost management


To qualify for taking up this course, you’ll need the following: 

Intended Audience

You can take on this course if you belong to the following category of individuals: 

  • Platform engineers for data
  • Designers and managers of the data analytics pipelines


This AWStraining course will include the following activities: 

  • Live Demonstrations
  • Presentations
  • Group Discussions
  • Hands-On Labs
  • Frequent Knowledge Checks

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

Talk to a Learning Advisor

Please enable JavaScript in your browser to complete this form.

Exam Readiness

AWS Certified Data Analytics - Speciality

The AWS Certified Data Analytics – Specialty exam verifies candidates’ proficiency in building, deploying, and fine-tuning data models, as well as in utilizing AWS services to scale up this process. In this intermediate-level course, learn how to study for the exam by reviewing the subject areas and how they relate to Data analysis on AWS.


AWS Certified Data Analytics - Speciality

This certification enables businesses to find and nurture personnel with the essential competencies to carry out cloud activities. AWS Certified Data Analytics – Specialty status verifies knowledge of how to use AWS data lakes and analytics services to extract insights from data.


Yes, we are an AWS Advanced Tier Training Partner

Anyone who wants to start a profession in AWS cloud is fit to enroll in this course. No prior knowledge of coding or other technical skills is required.

To enroll in this course, choose the starting date and make an online payment. Once your payment is confirmed, our team will reach out to you.

You may reach out at the contact number listed on our official website or write to us at

Wire Transfer, Credit Card, Debit Card, UPI & Purchase Order

There is no minimum number of candidates required, we are happy to train 1 to 1 should you wish. With regard to the maximum number, we can accommodate 30 learners in one batch.

1. Training delivered by an Amazon Authorised Instructor
2. AWS Content E-Kit
3. Hands-on labs- 30 days
4. Class attendance certificate

You will get the access to course content & lab on first day of your training session.

The course completion certificate will be issued to your email id within 2 weeks of completing your course.

A one-day course could be delivered over two half day sessions (4 hours a day), or a three-day course could be delivered over five days (4 hours a day).


Building Batch Data Analytics Solutions on AWS

1 Day / 8 Hours

Live Class

Certificate on completion


(Taxes Extra)

Choose a date