Course Description

Course Preview

    • Lesson 1 Big Data on AWS Certification Course Overview

      07:01
      • Overview of Big Data on AWS Certification Course
        04:22
      • 2.Course Introduction
        02:39
    • Lesson 2 - Big Data on AWS Introduction

      50:23
      • 1. Learning Objective
        00:53
      • 2.Cloud computing and it's advantages
        03:29
      • 3.Cloud Computing Models
        05:02
      • 4.Cloud Service Categories
        04:18
      • 5. AWS Cloud Platform
        03:54
      • 6.Design Principles - Part One
        04:16
      • 7. Design Principles - Part Two
        03:57
      • 8.Why AWS for Big Data - Reasons and Challenges
        01:48
      • 9.Databases in AWS
        06:47
      • 10.Data Warehousing in AWS
        02:00
      • 11.Redshift, Kinesis and EMR
        05:33
      • 12.DynamoDB, Machine Learning and Lambda
        05:01
      • 13.Elastic Search Services and EC2
        02:51
      • 14.Key Takeaways
        00:34
    • Lesson 3 - AWS Big Data Collection Services

      53:48
      • 1.Learning Objective
        00:54
      • 2.Amazon Kinesis and Kinesis Stream
        02:42
      • 3.Kinesis Data Stream Architecture and Core Components
        04:01
      • 4.Data Producer
        04:45
      • 5.Data Consumer
        03:11
      • 6.Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library
        04:30
      • 7.Kinesis Firehose
        06:20
      • 8.Transferring Data Using Lambda
        04:35
      • 9.Amazon SQS, Lifecycle and Architecture
        06:25
      • 10.IoT and Big Data
        03:25
      • 11.IoT Framework
        04:21
      • 12.AWS Data Pipelines and Data Nodes
        05:08
      • 13.Activity, Pre-condition and Schedule
        02:47
      • 14Key Takeaways
        00:44
    • Lesson 4 - AWS Big Data Storage Services

      36:51
      • 1.Learning Objective
        00:33
      • 2.Amazon Glacier and Big Data
        03:49
      • 3.DynamoDB Introduction
        05:41
      • 4.DynamoDB and EMR
        01:41
      • 5.DynamoDB Partitions and Distributions
        04:08
      • 6.DynamoDB GSI LSI
        02:55
      • 7.DynamoDB Stream and Cross Region Replication
        04:06
      • 8.DynamoDB Performance and Partition Key Selection
        03:24
      • 9.Snowball and AWS Big Data
        01:14
      • 10.AWS DMS
        01:23
      • 11.AWS Aurora in Big Data
        03:24
      • 12.Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 2
        03:59
      • 13.Key Takeaways
        00:34
    • Lesson 5 - AWS Big Data Processing Services

      49:39
      • 1.Learning Objective
        00:42
      • 2.Amazon EMR
        03:41
      • 3.Apache Hadoop
        04:10
      • 4.EMR Architecture
        06:53
      • 5.EMR Releases and Cluster
        02:12
      • 6.Choosing Instance and Monitoring
        06:07
      • 7.Demo - Advance EMR Setting Options
        03:30
      • 8.Hive on EMR
        01:06
      • 9.HBase with EMR
        05:50
      • 10.Presto with EMR
        02:07
      • 11.Spark with EMR
        06:12
      • 12.EMR File Storage
        02:48
      • 13.AWS Lambda
        03:49
      • 14.Key Takeaways
        00:32
    • Lesson 6 - Analysis

      59:48
      • 1.Learning Objective
        00:44
      • 2.Redshift Intro and Use cases
        03:02
      • 3.Redshift Architecture
        06:17
      • 4.MPP and Redshift in AWS Eco-System
        05:13
      • 5.Columnar Databases
        03:37
      • 6.Redshift Table Design - Part 2
        05:06
      • 7.Demo - Redshift Maintenance and Operations
        01:44
      • 8.Machine Learning Introduction
        04:02
      • 9.Machine Learning Algorithm
        04:09
      • 10.Amazon SageMaker
        00:57
      • 11.Amazon Elasticsearch
        04:34
      • 12.Amazon Elasticsearch Services
        05:22
      • 13.Demo - Loading Dataset into Elasticsearch
        01:18
      • 14.Logstash and R Studio
        01:51
      • 15.Demo - Fetching the File and Analyzing it using RStudio
        03:48
      • 16.Athena
        02:41
      • 17.Demo - Running Query on S3 using the Serverless Athena
        04:57
      • 18.Key Takeaways
        00:26
    • Lesson 7 - Visualization

      15:36
      • 1.Learning Objective
        00:37
      • 2. Introduction to Amazon QuickSight
        04:57
      • 3.Visual Types
        03:48
      • 4.Story
        02:15
      • 5.Big Data Visualization
        03:33
      • 6.Key Takeaways
        00:26
    • Lesson 8 - Security

      21:11
      • 1.Learning Objective
        00:40
      • 2.EMR Security and Security Group
        02:19
      • 3.Roles and Private Subnet
        02:27
      • 4.Encryption at Rest and In-transit
        03:09
      • 5.Redshift Security
        05:33
      • 6.Encryption at Rest using HSM
        02:39
      • 7.Cloud HSM vs AWS KMS
        02:32
      • 8.Limit Data Access
        01:24
      • 9.Key Takeaways
        00:28
    • Lesson 01 - Course Introduction

      • Overview of AWS Certified Data Analytics - Speciality Course
      • Overview of the Certification
      • Overview of the Course
      • Project highlights
      • Course Completion Criteria
    • Lesson 02 AWS in Big Data Introduction

      • Introduction to Cloud Computing
      • Cloud Computing Deployments Models
      • Types of Cloud Computing Services
      • AWS Fundamentals
      • AWS Cloud Economics
      • AWS Virtuous Cycle
      • AWS Cloud Architecture Design Principles
      • Why AWS for Big Data - Challenges
      • Databases in AWS
      • Relational vs Non Relational Databases
      • Data Warehousing in AWS
      • AWS Services for collecting, processing, storing, and analyzing big data
      • Key Takeaways
      • Deploy a Data Warehouse Using Amazon Redshift
    • Lesson 03 Collection

      • AWS Big Data Collection Services
      • Fundamentals of Amazon Kinesis
      • Loading Data into Kinesis Stream
      • Assisted Practice: Loading Data into Amazon Storage
      • Kinesis Data Stream High-Level Architecture
      • Kinesis Stream Core Concepts
      • AWS Services and Amazon Kinesis Data Stream
      • How to Put Data into Kinesis Stream?
      • Kinesis Connector Library
      • Amazon Kinesis Data Firehose
      • Assisted Practice: Transfer Data into Delivery Stream using Firehose
      • Assisted Practice: Transfer VPC Flow log to Splunk using Firehose
      • Data Transfer using AWS Lambda
      • Assisted Practice: Backing up data in Amazon S3 using AWS Lambda
      • Amazon SQS
      • IoT and Big Data
      • Amazon IoT Greengrass
      • AWS Data Pipeline
      • Components of Data Pipeline
      • Assisted Practice: Export MySQL Data to Amazon S3 Using AWS Data Pipeline
      • Key Takeaways
      • Streaming Data with Kinesis Data Analytics
    • Lesson 04 Storage

      • AWS Bigdata Storage services
      • Data lakes and Analytics
      • Data Management
      • Data Life Cycle
      • Fundamentals of Amazon Glacier
      • Glacier and Big Data
      • DynamoDB Introduction
      • DynamoDB: Core Components
      • Assisted Practice: Perform operations on DynamoDB table
      • DynamoDB in AWS Eco-System
      • DynamoDB Partitions
      • Data Distribution
      • DynamoDB GSI and LSI
      • DynamoDB Streams
      • Use cases: Capturing Table Activity with DynamoDB Streams
      • Cross-Region Replication
      • Assisted Practice: Create a Global Table using DynamoDB
      • DynamoDB Performance: Deep Dive
      • Partition Key Selection
      • Snowball & AWS BigData
      • Assisted Practice: Data Migration using AWS Snowball
      • AWS DMS
      • AWS Aurora in BigData
      • Assisted Practice: Create and Modify Aurora DB Cluster
      • Storing and Retrieving the Data from DynamoDB
    • Lesson 05 Processing I

      • AWS Bigdata Processing Services
      • Overview of Amazon Elastic MapReduce (EMR)
      • EMR Cluster Architecture
      • Apache Hadoop
      • Apache Hadoop Architecture
      • Storage Options
      • EMR Operations
      • AWS Cluster
      • Assisted Practice: Create a cluster in S3
      • Assisted Practice: Monitor a Cluster in S3
      • Using Hue with EMR
      • Assisted Practice: Launch HUE Web Interface on Amazon EMR
      • Setup Hue for LDAP
      • Assisted Practice: Configure HUE for LDAP Users
      • Hive on EMR
      • Assisted Practice: Set Up a Hive Table to Run Hive Commands
      • Key Takeaways
    • Lesson 06: Processing II

      • Using HBase with EMR
      • HBase Architecture
      • Assisted Practice: Create a cluster with HBase
      • HBase and EMRFS
      • Presto with EMR
      • Presto Architecture
      • Fundamentals of Apache Spark
      • Apache Spark Architecture
      • Assisted Practice: Create a cluster with Spark
      • Apache Spark Integration with EMR
      • Fundamentals of EMR File System
      • Amazon Simple Workflow
      • AWS Lambda in Big Data Ecosystem
      • AWS Lambda and Kinesis Stream
      • AWS Lambda and RedShift
      • HCatalog
      • Key Takeaways
      • Real-Time Application with Apache Spark and AWS EMR
    • Lesson 07 ETL with Redshift

      • Introduction to AWS Bigdata Analysis Services
      • Fundamentals of Amazon Redshift
      • Amazon RedShift Architecture
      • Assisted Practice: Launch a Cluster, Load Dataset, and Execute Queries
      • RedShift in the AWS Ecosystem
      • Columnar Databases
      • Assisted Practice: Monitor RedShift Maintenance and Operations
      • RedShift Table Design
      • Choosing the Distribution Style
      • Redshift Data types
      • RedShift Data Loading
      • COPY Command for Data Loading
      • RedShift Loading Data
      • Key Takeaways
    • Lesson 08: Analysis with Machine Learning

      • Fundamentals of Machine Learning
      • Workflow of Amazon Machine Learning
      • Use cases
      • Machine learning Algorithms
      • Amazon SageMaker
      • Machine learning with Amazon Sagemaker
      • Assisted Practice: Build, Train, and Deploy a Machine Learning Model
      • Elasticsearch
      • Amazon Elasticsearch Service
      • Zone Awareness
      • Logstash
      • RStudio
      • Assisted Practice: Fetch the File and Run Analysis using RStudio
      • Amazon Athena
      • Assisted Practice: Execute Interactive SQL Queries in Athena
      • AWS Glue
      • Key Takeaways
      • Fraud Detection Using Classification Algorithms on AWS Sagemaker
    • Lesson 09 Analysis and Visualization

      • Introduction to AWS Bigdata Visualization Services
      • Amazon QuickSight
      • Amazon QuickSight - Workflow and Use Cases
      • Assisted Practice: Analyze the marketing campaign
      • Working with data
      • Assisted Practice: Analyze the marketing campaign using data from Amazon S3
      • Assisted Practice: Analyze the marketing campaign using data from Presto
      • Amazon QuickSight: Visualization
      • Assisted Practice: Create Visuals
      • Amazon QuickSight: Stories
      • Assisted Practice: Create a Storyboard
      • Amazon QuickSight: Dashboard
      • Assisted Practice: Create a Dashboard
      • Data Visualization: Other Tools
      • Kibana
      • Assisted Practice: Create a Dashboard on Kibana
      • Key Takeaways
      • Exploratory Data Analysis Using AWS QuickSight
    • Lesson 10: Security

      • Introduction to AWS Bigdata Security
      • EMR Security
      • EMR Security: Best Practices
      • Roles
      • Fundamentals of Redshift Security
      • Data Protection and Encryption
      • Master Key, Encryption, and Decryption Process
      • Amazon Redshift Database Encryption
      • Key Management Services(KMS) Overview
      • Encryption using Hardware Security Modules
      • STS and Cross Account Access
      • Cloud Trail
      • Key Takeaways
    • Practice Projects

      • Real-time Analytics on Streaming Data
      • Truegate S3 Replication Big Data Assignment
    • Lesson 00 - Course Overview

      05:15
      • 0.1 Course Overview
        05:15
    • Lesson 01 - Introduction to Cloud Computing

      12:14
      • 1.1 Introduction to Cloud Computing
        00:18
      • 1.2 Cloud Computing
        08:20
      • 1.3 History of AWS
        02:52
      • 1.4 Quiz
      • 1.5 Key Takeaways
        00:44
    • Lesson 02 - Introduction to AWS

      38:59
      • 2.1 Introduction to AWS
        00:32
      • 2.2 Amazon Web Services or AWS
        08:40
      • 2.3 Knowledge Check
      • 2.4 Accessing AWS
        03:19
      • 2.5 Demo 1 - Creating an AWS Account
        04:39
      • 2.6 Knowledge Check
      • 2.7 Navigation of AWS Management Console
        04:35
      • 2.8 AWS Global Infrastructure
        03:21
      • 2.9 Demo 2 - Selecting a Region
        00:41
      • 2.10 Knowledge Check
      • 2.11 Security Measures Provided by AWS
        11:17
      • 2.12 Knowledge Check
      • 2.13 Quiz
      • 2.14 Key Takeaways
        01:55
    • Lesson 03 - Storage and content delivery

      25:50
      • 3.1 Storage and Content Delivery
        00:14
      • 3.2 Amazon Simple Storage Service (Amazon S3)
        02:15
      • 3.3 Demo 1 - Creating an Amazon S3 Bucket
        01:52
      • 3.4 Demo 2 - Managing Logging in an Amazon S3 Bucket
        01:27
      • 3.5 Demo 3 - Deleting or Emptying an Amazon S3 Bucket
        01:15
      • 3.6 Amazon S3 Process, Bucket usage and its objectives
        02:01
      • 3.7 Knowledge Check
      • 3.8 Amazon CloudFront
        02:31
      • 3.9 Knowledge Check
      • 3.10 Amazon Elastic File System (Amazon EFS)
        01:27
      • 3.11 Amazon Glacier
        02:24
      • 3.12 Knowledge Check
      • 3.13 Amazon Storage Gateway
        02:26
      • 3.14 Amazon Import - Export
        03:23
      • 3.15 Knowledge Check
      • 3.16 Elastic Block Storage of AWS
        02:43
      • 3.17 Knowledge Check
      • 3.18 Quiz
      • 3.19 Key Takeaways
        01:52
    • Lesson 04 - Compute Services and Networking

      56:17
      • 4.1 Compute Services and Networking
        00:38
      • 4.2 Computing and Networking Services of AWS
        11:11
      • 4.3 Knowledge Check
      • 4.4 Amazon Virtual Private Cloud
        08:47
      • 4.5 Demo 1 - Creating or Accessing Amazon VPC
        03:20
      • 4.6 VPC for Disaster Recovery
        00:53
      • 4.7 Knowledge Check
      • 4.8 Amazon EC2 Instances
        13:11
      • 4.9 Demo 2 - Creating an Amazon EC2 Instance
        04:51
      • 4.10 Knowledge Check
      • 4.11 Amazon EBS Volumes and Snapshots
        02:55
      • 4.12 Demo 3 - Creating an EBS volume
        01:58
      • 4.13 Demo 4 - Attaching an Amazon EBS Volume
        01:11
      • 4.14 EBS Snapshots
        02:06
      • 4.15 Demo 5 - Creating an EBS Snapshot
        01:17
      • 4.16 Restoring Volumes from EBS Snapshots
        01:16
      • 4.17 Demo 6 - Restoring an EBS Volume from a Snapsho
        01:07
      • 4.18 Knowledge Check
      • 4.19 Quiz
      • 4.20 Key Takeaways
        01:36
    • Lesson 05 - AWS Managed Services and Databases

      37:20
      • 5.1 AWS Managed Services and Database
        00:25
      • 5.2 Amazon DynamoDB
        20:41
      • 5.3 Demo 1 - Creating a Table and Adding Items
        02:42
      • 5.4 Demo 2 - Query a Table
        01:18
      • 5.5 Knowledge Check
      • 5.6 Amazon Relational Database Service
        08:25
      • 5.7 Knowledge Check
      • 5.8 Demo 3 - Executing an RDS Driven Application
        02:17
      • 5.9 Quiz
      • 5.10 Key Takeaways
        01:32
    • Lesson 06 - Deployment and Management

      44:57
      • 6.1 Deployment and Management
        00:31
      • 6.2 AWS CloudFormation
        08:11
      • 6.3 Demo 1 - Creating a Stack
        02:58
      • 6.4 Knowledge Check
      • 6.5 Amazon CloudWatch Metrics
        05:39
      • 6.6 Demo 2 - Obtaining the Statistics
        01:47
      • 6.7 Alarms
        03:54
      • 6.8 Demo 3 - Creating an Alarm
        03:58
      • 6.9 Knowledge Check
      • 6.10 AWS Identity and Access Management
        06:32
      • 6.11 Demo 4 - Creating the First IAM User
        01:54
      • 6.12 Demo 5 - Creating an Administrator Group
        01:34
      • 6.13 Demo 6 - Adding the user to the Administrator Group
        01:50
      • 6.14 IAM Roles
        01:32
      • 6.15 Demo 7 - Creating a Role
        02:49
      • 6.16 Quiz
      • 6.17 Key Takeaways
        01:48
    • Practice Project

      • AWS Tech Essentials Project – Media
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Exam & Certification

  • What are the prerequisites for this Big Data on AWS Training course?

    There are no prerequisites for learning this course, but you should have:

    • Basic knowledge of AWS technical essentials
    • Fair understanding of big data and Hadoop concepts

    If you wish to brush up your AWS technical skills, Simplilearn offers a complimentary self-paced course on AWS technical essentials when you enroll for this course.

  • How long does it take to complete the Big Data on AWS course?

    It will take about 40-45 hours to successfully complete the Big Data on AWS course.

  • What do I need to do to unlock my Simplilearn certificate?

    Online Classroom:

    • Attend one complete batch
    • Complete one project and one simulation test with a minimum score of 80%

  • Who provides the certification?

    Upon successful completion of the Big Data on AWS certification training, you will be awarded the course completion certificate from Simplilearn.

  • How long is the Big Data on AWS course certificate from Simplilearn valid for?

    The Big Data on AWS course certification from Simplilearn has lifelong validity.

Course Advisor

Ronald van Loon
Ronald van Loon Top 10 Big Data and Data Science Influencer, Director - Adversitement

Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.

        FAQs

        • How do I enroll for the online training?

          You can enroll for this training on our website and make an online payment using any of the following options:

          • Visa Credit or Debit Card
          • MasterCard
          • American Express
          • Diner’s Club
          • PayPal 

          Once payment is received, you will automatically receive a payment receipt and access information via email.

        • What is included with the training?

          You will get access to our e-learning content, practice simulation tests, and an online participant handbook that cross-references the e-learning to reinforce what you’ve learned.

        • Can I cancel my enrolment? Do I get a refund?

          Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.

        • What is Global Teaching Assistance?

          Our teaching assistants are a dedicated team of subject matter experts motivated to help you get certified on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Global Teaching Assistance is available during regular business hours.

        • What is covered under the 24/7 Support Promise?

          We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you’ll have lifetime access to the community forum, even after you complete your course.

        • What if I miss a class?

          Simplilearn provides recordings of each class so you can review them as needed before the next session. With Flexi-Pass, Simplilearn gives you access to all classes for 90 days so that you have the flexibility to choose sessions at your convenience.

                Contact Us

                +1-844-532-7688

                (Toll Free)

                • Disclaimer
                • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.