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Big Data on AWS

Training Mode: Class Room / Live Online

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Big Data on AWS Training - Live Online & Classroom

Amazon EMR is a managed service that lets you process and analyze extremely large data sets using the latest versions of big data processing frameworks such as Apache Hadoop, Spark, HBase.

myTectra the Market Leader in Big Data on AWS Training

myTectra offers Big Data on AWS Training using Class Room. myTectra also offers Live Online Big Data on AWS Training globally.


Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, Amazon QuickSight, Amazon Athena and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Course Objectives

This course teaches you how to:

Fit AWS solutions inside of a big data ecosystem
Leverage Apache Hadoop in the context of Amazon EMR
Identify the components of an Amazon EMR cluster
Launch and configure an Amazon EMR cluster
Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Leverage Hue to improve the ease-of-use of Amazon EMR
Use in-memory analytics with Spark on Amazon EMR
Choose appropriate AWS data storage options
Identify the benefits of using Amazon Kinesis for near real-time big data processing
Leverage Amazon Redshift to efficiently store and analyze data
Comprehend and manage costs and security for a big data solution
Identify options for ingesting, transferring, and compressing data
Leverage Amazon Athena for ad-hoc query analytics
Leverage AWS Glue to automate ETL workloads.
Use visualization software to depict data and queries using Amazon QuickSight
Orchestrate big data workflows using AWS Data Pipeline

Intended Audience

This course is intended for:

Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators
Data Scientists and Data Analysts interested in learning about big data solutions on AWS


We recommend that attendees of this course have the following prerequisites:

Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
Students should complete the Big Data Technology Fundamentals web-based training or have equivalent experience
Working knowledge of core AWS services and public cloud implementation
Students should complete the AWS Essentials course or have equivalent experience
Basic understanding of data warehousing, relational database systems, and database design

Delivery Method

This course is delivered through a mix of:

Instructor-Led Training (ILT)
Hands-On Labs
Hands-On Activity
This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

Course Outline

This course covers the following concepts on each day:

Day 1

Overview of Big Data
Big Data streaming and Amazon Kinesis
Using Kinesis to stream and analyze Apache server logs
Storage Solutions
Querying Big Data using Amazon Athena
Using Amazon Athena to analyze log data
Introduction to Apache Hadoop and Amazon EMR

Day 2

Using Amazon Elastic MapReduce
Storing and Querying Data on DynamoDB
Hadoop Programming Frameworks
Processing Server Logs with Hive on Amazon EMR
Streamlining Your Amazon EMR Experience with Hue
Running Pig Scripts in Hue on Amazon EMR
Spark on Amazon EMR
Processing New York Taxi dataset using Spark on Amazon EMR

Day 3

Using AWS Glue to automate ETL workloads
Amazon Redshift and Big Data
Visualizing and Orchestrating Big Data
Managing Amazon EMR Costs
Securing Big Data solutions
Big Data Design Patterns

For Big Data on AWS Training using Class Room or Live Online, ENROLL TODAY at myTectra.

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myTectra Stands for Quality Training and provides training using Experienced professionals on the Respective Technologies and who has a good teaching expertise.


myTectra flexible batch schedules enables you to start your class at your convenient date and time.

1. All the enrolled candidates must start the class by any date within 30 days from the date of enrollment.
2. Maximum of 3 Days will be taken by myTectra to schedule the batches from the date of schedule request from the candidate.
3. Individual Focus - Maximum 5 candidates allowed per batches
4. The candidate can request any one of the batch time slot from the below list
Batch Type Time Slab Hours/Day Time Zone Days
Regular Morning 6.30 AM - 9.30 AM Anytime Maximum 2 Hrs IST Monday-to-Friday
Regular Evening 6.30 PM - 9.30 PM Anytime Maximum 2 Hrs IST Monday-to-Friday
Week End 6.30 AM - 9.30 PM Anytime Maximum 3 Hrs IST Saturday,Sunday
Fast Track-Morning 6.30 AM - 9.30 AM Anytime Maximum 2 Hrs IST Monday-to-Saturday
Fast Track-Evening 6.30 PM - 9.30 PM Anytime Maximum 2 Hrs IST Monday-to-Saturday
Customized Batch Customized Timing Customized Hrs IST Customized Days

Note : We can schedule your batch anytime on Saturday and Sunday between 6.30 AM 9.30 PM at your convenient time

Do you have any questions ? please call us on +919019191856 or email to [email protected]