Why AWS Certification for Big Data?

  • Leader in the Market

    AWS market is expected to reach $236B by 2020 at a CAGR of 22% - Forrester

  • Higher Salary

    As per indeed.com, the average salary of AWS Specialist is $200k

Big Data on AWS Training Features

  • Hands-on Focused

    16 demos which will help you to start from scratch and become an expert during the course.

  • Support

    Discussion forum as well as on-call support for your queries.

  • Certification

    Get a certificate based on your project performance, reviewed by our experts.

Course curriculum

  • 1

    Discussion Forum

    • Discussion Forum

  • 3

    Lesson 1 - Overview of Big Data on AWS Certification Course

  • 4

    Lesson 2 - Big Data on AWS Introduction

    • Learning Objectives

  • 5

    2.1 Cloud Computing - Introduction, Advantages, Types

    • 1.Cloud Computing and its Advantages

    • 2.Cloud Deployment Models

    • 3.Cloud Service Categories

  • 6

    2.2 AWS Cloud Platform

    • 1.AWS Cloud Platform

  • 7

    2.3 AWS Cloud Architecture Design Principles

    • 1.Design Principles - Part 1

    • 2.Design Principles - Part 2

  • 8

    2.4 Why AWS for Big Data - Reasons and Challenges

    • 1.Why AWS for Big Data - Reasons and Challenges

  • 9

    2.5 Databases and Data Warehousing in AWS

  • 10

    2.6 AWS Services for Big Data

    • 1.Redshift, Kinesis and EMR

    • 2.DynamoDB, Machine Learning and Lambda

    • 3.Elastic Search Services and EC2

  • 11

    2.7 Key Takeaway

    • Key Takeaway

  • 12

    Quiz

    • Test Your Knowledge

  • 13

    Lesson 3 - Collection

    • Learning Objective

  • 14

    3.1 Amazon Kinesis and Kinesis Stream

    • 1. Amazon Kinesis and Kinesis Stream

  • 15

    3.2 Kinesis Data Stream Architecture and Core Components

  • 16

    3.3 Data Producer and Data Consumers

    • 1. Data Producer

    • 2. Data Consumer

    • 3. Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library

  • 17

    3.4 Kinesis Firehose

  • 18

    3.5 Transferring Data Using Lambda

    • 1. Transferring Data using Lambda

  • 19

    3.6 Amazon SQS, Lifecycle and Architecture

    • 1. Amazon SQS, Lifecycle and Architecture

  • 20

    3.7 IoT and Big Data

    • 1. IoT and Big Data

    • 2. IoT Framework

  • 21

    3.8 AWS Data Pipelines and Data Nodes

    • 1. AWS Data Pipelines and Data Nodes

  • 22

    3.9 Activity, Pre-condition and Schedule

    • 1. Activity, Pre-condition and Schedule

    • Demo - Import Data from S3 into DynamoDB using Data Pipeline

  • 23

    3.10 Key Takaway

    • Key Takeaway

  • 24

    Quiz

    • Test Your Knowledge

  • 25

    Lesson 4 - Storage

    • 1. Learning Objective

  • 26

    4.1 Amazon Glacier and Big Data

    • 1. Amazon Glacier and Big Data

  • 27

    4.2 DynamoDB Introduction

    • 1. DynamoDB Introduction

  • 28

    4.3 DynamoDB in AWS Eco-system

    • 1. DynamoDB and EMR

    • 2. DynamoDB Partitions and Distributions

    • 3. DynamoDB GSI LSI

  • 29

    4.4 Snowball and AWS Big Data

    • 1. Snowball and AWS Big Data

  • 30

    4.5 AWS DMS

    • 1. AWS DMS

  • 31

    4.6 AWS Aurora in Big Data

  • 32

    4.7 Key Takeaway

    • Key Takeaway

  • 33

    Quiz

    • Test Your Knowledge

  • 34

    Lesson 5 - Processing

    • Learning Objective

  • 35

    5.1 Amazon EMR

    • 1. Amazon EMR

    • Demo - Analyzing Big Data with Amazon EMR

  • 36

    5.2 Apache Hadoop

    • 1. Apache Hadoop

  • 37

    5.3 EMR Architecture

    • 1. EMR Architecture

  • 38

    5.4 EMR Operations

    • 1. EMR Releases and Cluster

    • 2. Choosing Instance and Monitoring

    • Demo - Advance EMR Setting Options

  • 39

    5.5 Hive on EMR

    • 1. Hive on EMR

  • 40

    5.6 HBase with EMR

    • 1. HBase with EMR

  • 41

    5.7 Presto with EMR

    • 1. Presto with EMR

  • 42

    5.8 Spark with EMR

    • 1. Spark with EMR

  • 43

    5.9 EMR File Storage

    • 1. EMR File Storage

    • Demo - Analyzing Large DataSet Using Hive and Spark

  • 44

    5.10 AWS Lambda

    • 1. AWS Lambda

  • 45

    5.11 Key Takeaway

    • Key Takeaway

  • 46

    Quiz

    • Test Your Knowledge

  • 47

    Lesson 6 - Analysis

    • Learning Objective

  • 48

    6.1 Redshift- Introduction and Architecture

    • 1. Redshift Intro and Use cases

    • 2. Redshift Architecture

    • 3. MPP and Redshift in AWS Eco-System

  • 49

    6.2 Columnar Database

    • 1. Columnar Databases

  • 50

    6.3 Redshift Table Design, Workload Management and, Maintenance and Operations

  • 51

    6.4 Machine Learning

    • 1. Machine Learning Introduction

    • 2. Machine Learning Algorithm

  • 52

    6.5 Amazon SageMaker

    • 1. Amazon SageMaker

  • 53

    6.6 Amazon Elastic Search

  • 54

    6.7 Logstash and R Studio

    • 1. Logstash and R Studio

    • Demo - Fetching the File and Analyzing using RStudio

  • 55

    6.8 Athena

    • 1. Athena

    • Demo - Running Query on S3 using the Serverless Athena

    • Demo - Creating a Redshift Cluster, Loading the Dataset from S3 and Running the Queries – Part 1

    • Demo - Creating a Redshift Cluster, Loading the Dataset from S3 and Running the Queries – Part 2

  • 56

    6.9 Key Takeaway

    • Key Takeaway

  • 57

    Quiz

    • Test Your Knowledge

  • 58

    Lesson 7 - Visualization

    • Learning Objective

  • 59

    7.1 Quicksight

    • 1. Amazon Quicksight

    • Demo - Creating an Analysis with a Single Visual using Sample Data

    • Demo - Creating an Analysis using Amazon S3 Data

  • 60

    7.2 Visual Types

    • 1. Visual Types

  • 61

    7.3 Story

    • 1. Story

  • 62

    7.4 Big Data Visualization

    • 1. Big Data Visualization

  • 63

    7.5 Key Takeaway

    • Key Takeaway

  • 64

    Quiz

    • Test Your Knowledge

  • 65

    Lesson 8 - Security

    • Learning Objective

  • 66

    8.1 EMR Security

    • 1. EMR Security and Security Group

  • 67

    8.2 Roles and Private Subnet

    • 1. Roles and Private Subnet

  • 68

    8.3 Encryption at Rest and In-transit

    • 1. Encryption at Rest and In-transit

  • 69

    8.4 Redshift Security

    • 1. Redshift Security

  • 70

    8.5 Encryption at Rest using CloudHSM

    • 1. Encryption at Rest using CloudHSM

  • 71

    8.6 Cloud HSM vs AWS KMS

    • 1. Cloud HSM vs AWS KMS

  • 72

    8.7 Limit Data Access

    • 1. Limit Data Access

  • 73

    8.8 Key Takeaway

    • Key Takeaway

  • 74

    Quiz

    • Test Your Knowledge

  • 75

    Course End Assessment

    • Certification Quiz

  • 76

    Course End Project

    • Course End Project

FAQ

  • After signing up for the course, after how much time would I get access to the Learning Content?

    As soon as you signed-up, you will have full access to the complete self-paced content.

  • How my doubts will be resolved?

    There is a discussion forum attached to each course in your LMS. You can post your questions and our expert(s) will answer the queries.

  • For how long do I have access to the course material?

    The training course content is available to you for one year.

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Our Students Love Us

Namita Agarwal

Excellent course. Was able to grasp the concept easily.

Naveen

Have passed the exam. It was a tough exam and this course has helped me a lot.

Vaibhav Srivastava

Course along with the sample questions is very useful. I have passed the exam in my first attempt.