Building Batch Data Analytics Solutions on AWS

Last Updated: 08-03-2025

The Building Batch Data Analytics Solutions on AWS course is designed for professionals who want to learn how to build and manage batch data processing solutions using AWS services. This course covers the architecture, tools, and techniques necessary for processing large volumes of data in batch jobs, enabling organizations to perform analytics, generate insights, and improve decision-making. You'll gain hands-on experience with services like AWS Glue, Amazon S3, AWS Lambda, and Amazon EMR to build and optimize batch data pipelines.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

Schedule	Learners	Course Fee (Incl. of all Taxes)	Register Your Interest
December 20^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288 Fast Filling! Hurry Up.
December 21^st 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288
December 22^nd 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours) Guaranteed-to-Run		10% Off $320 $288
December 27^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288
December 28^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		10% Off $320 $288
January 03^rd 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 04^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 05^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 10^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 11^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 12^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 17^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 18^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 19^th - 20^th 06:00 AM - 10:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours)		20% Off $320 $256
January 26^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 8 Hours) Guaranteed-to-Run		20% Off $320 $256

Course Prerequisites

Basic knowledge of AWS services, such as Amazon S3, EC2, and IAM.
Familiarity with SQL and data processing concepts.
Recommended: Experience with batch processing tools and data engineering concepts is beneficial.

Learning Objectives

By the end of this course, you will be able to:

Design and implement scalable batch data processing solutions using AWS services like AWS Glue, S3, and Amazon EMR.
Automate data extraction, transformation, and loading (ETL) processes using AWS Glue for batch analytics.
Process structured and unstructured data using AWS Lambda and Amazon EMR for batch workloads.
Optimize performance and cost-efficiency for large-scale data processing jobs in the cloud.
Implement data storage solutions for batch processing, including best practices for S3 and data lakes.
Integrate batch processing pipelines with analytics tools like Amazon Athena and Redshift for querying large datasets.
Build and deploy secure, fault-tolerant, and compliant batch data pipelines in AWS.
Gain hands-on experience with real-world batch analytics use cases and best practices.

Target Audience

This course is ideal for:

Data engineers, architects, and analysts responsible for building batch data processing systems.
Developers and cloud engineers who want to integrate data analytics capabilities into cloud environments.
IT professionals and system administrators interested in learning how to handle large-scale data processing in AWS.
Business analysts and data scientists seeking to understand how to structure and analyze batch data at scale.

Course Modules

Introduction to Amazon EMR:
- Utilizing Amazon EMR in analytics solutions.
- Understanding Amazon EMR cluster architecture.
- Interactive Demo: Launching an Amazon EMR cluster.
- Strategies for cost management.
Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage:
- Optimizing storage with Amazon EMR.
- Techniques for data ingestion.
High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR:
- Processing and analyzing batch data with Apache Spark.
- Practice Lab: Batch data processing using Apache Spark.
Processing and Analyzing Batch Data with Amazon EMR and Apache Hive:
- Utilizing Amazon EMR with Hive for batch data processing.
- Data transformation, processing, and analytics.
- Practice Lab: Batch data processing using Amazon EMR with Hive.
- Introduction to Apache HBase on Amazon EMR.
Serverless Data Processing:
- Exploring serverless options for data processing.
Security, Performance, and Cost Management Best Practices:
- Implementing security measures for EMR clusters.
- Optimizing performance and managing costs effectively.
Hands-On Labs and Practice Exercises:
- Engaging in practical labs to reinforce learning and gain real-world experience.

Register Your Interest

By Providing your contact details, you agree to privacy policy

Trustpilot

What Our Learners Are Saying

The training, courseware, and lab experience were insightful and valuable. Keep up the great work and learning experience!

Nitish A. Anand – Accenture

Course: SC-200: Microsoft Security Operations Analyst
Date: 15th Jan 2025

The instructor was professional and very content.

Justine Daudi Mlimbilah – Bank of Africa, Tanzania

Course: MD-102: Microsoft 365 Endpoint Administrator
Date: 20th Dec 2024

The instructor was so knowledgeable & humble. Rare to find someone so confident but so down to earth these days. So appreciative to him.”

Mohd. Hassan – Ministry of Finance, UAE

Course: AZ-700: Designing and Implementing Microsoft Azure Networking Solutions
Date: 31st July 2024

Instructor is experienced and knowledgeable in guiding.

Dharshini Mahalaxmi – Dr. MGR Education and Research Institute, Chennai, India

Course: SC-300: Microsoft Identity and Access Administrator
Date: 4th May 2024