AWS Big Data Certification Training Course

AWS Big Data Certification Course Overview

In this AWS Big Data certification course, you will become familiar with the concepts of cloud computing and its deployment models. This course covers Amazon?? AWS cloud platform, Kinesis Analytics, AWS big data storage, processing, analysis, visualization and security services, machine learning algorithms and much more.

What you'll learn

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  • Learn Research
  • Collect Usefull Data
  • Requirement Analysis Phase
  • Market competent Skills
  • Problem Solving Skills
  • Model Implementation Skills
  • Building or Developing Phase
  • Presenting and Testing Skills

    Course Includes:

  • 7+ hours on-demand video
  • 7+ articles
  • 20+ downloadable resources
  • Full access
  • Access on mobile and TV
  • Certificate of completion


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  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 4 hands-on projects to perfect the skills learnt
  • 2 simulation test papers for self-assessment
  • 24x7 learner assistance and support


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  • Everything in Self-Paced Learning, plus
  • 90 days of flexible access to online classes
  • Live, online classroom training by top instructors and practitioners
  • 24x7 learner assistance and support


  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Flexible pricing options
  • Enterprise grade Learning Management System (LMS)
  • Enterprise dashboards for individuals and teams
  • 24x7 learner assistance and support
  • 24x7 learner assistance and support

AWS Big Data Course Curriculum


This AWS Big Data certification course is well-suited for experienced technology professionals who want to excel in the data engineering space.


Participants in this AWS Big Data certification course should have basic knowledge of AWS technical essentials and a fair understanding of big data and Hadoop concepts.

Course Content

Lesson 1 Big Data on AWS Certification Course Overview
Overview of Big Data on AWS Certification Course
2.Course Introduction
Lesson 2 - Big Data on AWS Introduction
1. Learning Objective
2.Cloud computing and it's advantages
3.Cloud Computing Models
4.Cloud Service Categories
5. AWS Cloud Platform
6.Design Principles - Part One
7. Design Principles - Part Two
8.Why AWS for Big Data - Reasons and Challenges
9.Databases in AWS
10.Data Warehousing in AWS
11.Redshift, Kinesis and EMR
12.DynamoDB, Machine Learning and Lambda
13.Elastic Search Services and EC2
14.Key Takeaways
Lesson 3 - AWS Big Data Collection Services
1.Learning Objective
2.Amazon Kinesis and Kinesis Stream
3.Kinesis Data Stream Architecture and Core Components
4.Data Producer
5.Data Consumer
6.Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library
7.Kinesis Firehose
8.Transferring Data Using Lambda
9.Amazon SQS, Lifecycle and Architecture
10.IoT and Big Data
11.IoT Framework
12.AWS Data Pipelines and Data Nodes
13.Activity, Pre-condition and Schedule
14Key Takeaways
Lesson 4 - AWS Big Data Storage Services
1.Learning Objective
2.Amazon Glacier and Big Data
3.DynamoDB Introduction
4.DynamoDB and EMR
5.DynamoDB Partitions and Distributions
6.DynamoDB GSI LSI
7.DynamoDB Stream and Cross Region Replication
8.DynamoDB Performance and Partition Key Selection
9.Snowball and AWS Big Data
11.AWS Aurora in Big Data
12.Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 ??Part 2
13.Key Takeaways
Lesson 5 - AWS Big Data Processing Services
1.Learning Objective
2.Amazon EMR
3.Apache Hadoop
4.EMR Architecture
5.EMR Releases and Cluster
6.Choosing Instance and Monitoring
7.Demo - Advance EMR Setting Options
8.Hive on EMR
9.HBase with EMR
10.Presto with EMR
11.Spark with EMR
12.EMR File Storage
13.AWS Lambda
14.Key Takeaways
Lesson 6 - Analysis
1.Learning Objective
2.Redshift Intro and Use cases
3.Redshift Architecture
4.MPP and Redshift in AWS Eco-System
5.Columnar Databases
6.Redshift Table Design - Part 2
7.Demo - Redshift Maintenance and Operations
8.Machine Learning Introduction
9.Machine Learning Algorithm
10.Amazon SageMaker
11.Amazon Elasticsearch
12.Amazon Elasticsearch Services
13.Demo - Loading Dataset into Elasticsearch
14.Logstash and R Studio
15.Demo - Fetching the File and Analyzing it using RStudio
17.Demo - Running Query on S3 using the Serverless Athena
18.Key Takeaways
Lesson 7 - Visualization
1.Learning Objective
2. Introduction to Amazon QuickSight
3.Visual Types
5.Big Data Visualization
6.Key Takeaways
Lesson 8 - Security
1.Learning Objective
2.EMR Security and Security Group
3.Roles and Private Subnet
4.Encryption at Rest and In-transit
5.Redshift Security
6.Encryption at Rest using HSM
7.Cloud HSM vs AWS KMS
8.Limit Data Access
9.Key Takeaways

Course Training Session FAQ'S

IT Nuggets Online is a progressive IT company engaged in creating eye-grabbing computer-based content in English, for the benefit of students. we offer learning process that blends texts, visuals, animation, video clips, and sound to give a complete learning experience to students.
Everyone Take an Online Classes in Your Flexible Times.
Yes, You Can Enroll More Than Courses.
After Meeting the Certification Criteria Explained By Instructor which will be contain some quiz and hands on exercise then definitely you will get certification.