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Page 1: AWS Big Data Certification Training - Intellipaat

AWS Big Data Certification Training 1 | P a g e

AWS Big Data Certification Training

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Table of Contents

1. About the Program

2. About Intellipaat

3. Key Features

4. Career Support

5. Who should take up this course?

6. Program Curriculum

7. Project Work

8. Certification

9. Intellipaat Success Stories

10. Contact Us

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About the Program

This AWS Big Data certification course is led by industry experts from top organizations.

Here, you will gain in-depth knowledge of AWS Big Data concepts, such as AWS IoT

(Internet of Things), Kinesis, Amazon DynamoDB, Amazon Machine Learning (AML), data

analysis, data processing technologies, data visualization, and more. As part of this AWS

Big Data training, you will be awarded an industry-recognized AWS Big Data Certification

from Intellipaat.

About Intellipaat

Intellipaat is one of the leading e-learning training providers with more than 600,000

learners across 55+ countries. We are on a mission to democratize education as we

believe that everyone has the right to quality education.

Our courses are delivered by subject matter experts from top MNCs, and our world-class

pedagogy enables learners to quickly learn difficult topics in no time. Our 24/7 technical

support and career services will help them jump-start their careers in their dream

companies.

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Key Features

32 HRS INSTRUCTOR-LED

TRAINING

24 HRS SELF-PACED TRAINING

LIFETIME ACCESS

24/7 TECHNICAL SUPPORT INDUSTRY-RECOGNIZED

CERTIFICATION

JOB ASSISTANCE THROUGH

80+ CORPORATE TIE-UPS

FLEXIBLE SCHEDULING

40 HRS REAL-TIME

PROJECT WORK

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Career Support

SESSIONS WITH INDUSTRY MENTORS

Attend sessions from top industry experts and get guidance on how to boost

your career growth

MOCK INTERVIEWS

Mock interviews to make you prepare for cracking interviews by top employers

GUARANTEED INTERVIEWS & JOB SUPPORT

Get interviewed by our 400+ hiring partners

RESUME PREPARATION

Get assistance in creating a world-class resume from our career services team

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Who should take up this course?

Professionals who can take up this course include:

SysOps Administrators

Solutions Architects

Data Analysts

Data Scientists

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Program Curriculum

AWS Big Data Course Content

INTRODUCTION TO BIG DATA & DATA COLLECTION

Introduction to Big Data

Big Data tools available in AWS

Why Big Data on AWS?

What is AWS Kinesis?

How does Kinesis work?

Features of AWS Kinesis

AWS Kinesis components

Kinesis Data Streams

Enhanced fan-out in AWS Kinesis

Kinesis Data Firehose

Amazon SQS

AWS Data Pipeline

Hands-on Exercise: Creating, deleting, and managing an AWS Kinesis Stream

INTRODUCTION TO CLOUD COMPUTING & AWS

What is Cloud Computing?

Cloud service and deployment models

How AWS is the leader in the cloud domain

Various Cloud Computing products offered by AWS

Introduction to AWS S3, EC2, VPC, EBS, ELB, and AMI

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AWS architecture, AWS Management Console, and virtualization in AWS (Xen

hypervisor)

What is auto-scaling?

AWS EC2 best practices and cost involved

Hands-on Exercise: Setting up of AWS account, launching an EC2 instance, the process

of hosting a website, and launching a Linux virtual machine using an AWS EC2 instance

ELASTIC COMPUTE & STORAGE VOLUMES

Introduction to EC2

Regions and availability zones (AZs)

Pre-EC2 and EC2 instance types

Comparing Public IP and Elastic IP

Demonstrating how to launch an AWS EC2 instance

Introduction to AMIs and creating and copying an AMI

Introduction to EBS

EBS volume types

EBS Snapshots

Introduction to EFS

Instance tenancy: Reserved and spot instances

Pricing and design patterns

Hands-on Exercise: Launching an EC2 instance, creating an AMI of the launched

instance, copying the AMI to another region, creating an EBS volume, attaching the EBS

volume to an instance, taking the backup of an EBS volume, creating an EFS volume, and

mounting the EFS volume to two instances

VIRTUAL PRIVATE CLOUD

What is Amazon VPC?

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VPC as a networking layer for EC2

IP address and CIDR notations

Components of VPC: Network interfaces, route tables, internet gateway and NAT

Security in VPC: Security groups and NACL, types of VPC, subnets, VPC peering

with scenarios, VPC endpoints, VPC pricing, and design patterns

Hands-on Exercise: Creating a VPC and subnets, creating a 3-tier architecture with

security groups, NACL, Internet gateway and NAT gateway, and creating a complete VPC

architecture

STORAGE - SIMPLE STORAGE SERVICE (S3)

Introduction to AWS storage

Pre-S3: Online cloud storage

API and S3 consistency models

Storage hierarchy and buckets in S3

Objects in S3, metadata and storage classes, object versioning, object life cycle

management, cross-region replication, data encryption, connecting using VPC

endpoint, and S3 pricing

Hands-on Exercise: Creating an S3 bucket, uploading objects to the S3 bucket, enabling

object versioning in the S3 bucket, setting up life cycle management for only a few objects,

setting up life cycle management for all objects with the same tag, and static website

hosting using S3

DATABASES & IN-MEMORY DATASTORES

What is a database? Types of databases and databases on AWS

Introduction to Amazon RDS

Multi-AZ deployments and features of RDS

Read replicas in RDS and reserved DB instances

RDS pricing and design patterns

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Introduction to Amazon Aurora, benefits of Aurora, Aurora pricing, and design

patterns

Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing, and

design patterns

What is Amazon Redshift? Advantages of Redshift

What is ElastiCache? Why ElastiCache?

Hands-on Exercise: Launching a MySQL RDS instance, modifying an RDS instance,

connecting to the DB instance from your machine, creating a multi-az deployment, creating

an Aurora DB cluster, creating an Aurora replica, and creating a DynamoDB table

DATA STORAGE

What is S3 Glacier?

Accessing Amazon S3 Glacier

Glacier Vaults

Glacier Archives

What is Amazon DynamoDB?

How does DynamoDB work?

Accessing DynamoDB through Portal and CLI

DynamoDB tables and items

DynamoDB indexes

DynamoDB streams and replication

Dynamo backup and restore

DynamoDB best practices

Introduction to RDS

Basics of RDS

Hands-on Exercise: Creating a table and loading data, replicating data to another table

and backing up, and creating a MySQL database

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DATA PROCESSING

Amazon EMR

Apache Hadoop

Hue with EMR

HBase with EMR

Spark with EMR

AWS Lambda for the Big Data ecosystem

HCatalog

Glue

Glue Lab

Hands-on Exercise: EMR cluster creation, adding steps to EMR, using Hue with EMR,

using HBase with EMR, using Spark with EMR, using HCatalog with Hive on EMR, and

using Glue

DATA ANALYSIS

What is Amazon Redshift?

Data Warehouse System Architecture

Redshift Concepts

Designing tables

Loading data to Redshift

Redshift workload management

Tuning query performance

Best practices using Redshift

Amazon Machine Learning

Amazon ML key concepts

Using Amazon ML

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What is Amazon Athena?

When should you use Athena?

Running queries using Athena

What is Amazon Elasticsearch Service?

Features of Amazon Elasticsearch Service

ES domains

Hands-on Exercise: Creating a Redshift cluster, creating read replicas, loading data into

the cluster, running queries using the Redshift Query Editor, backing up the cluster,

running a sample ML model in Amazon ML, creating a database in Athena, and running

queries

DATA VISUALIZATION & DATA SECURITY

What is Amazon QuickSight?

How does Amazon QuickSight work?

QuickSight SPICE

Setting up Amazon QuickSight

Data sources and datasets

Creating your own analysis in QuickSight

QuickSight visualization

QuickSight dashboards

Security best practices

EMR security

Redshift security

Introduction to Microstrategy

Hands-on Exercise: Setting up Amazon QuickSight, creating a dataset in QuickSight,

creating various visualizations using the dataset, and creating a QuickSight dashboard of

the created visuals

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Project Work

AWS Big Data Projects

Project 1: Integration of Big Data with AWS

Domain: Cloud

Problem Statement: Integrate your organization’s Big Data to the AWS cloud to make it

accessible

Topics: ML regression model, Redshift, and Glacier

Highlights:

Implementing ML regression model

Adapting Redshift

Using Glacier

Project 2: Big Data Analysis

Domain: Big Data

Problem Statement: As an IT professional, analyze the Big Data of your organization

Topics: Kinesis Data Streams, Apache Hadoop, and Amazon QuickSight

Highlights:

Understanding Kinesis Data Streams

Utilizing Apache Hadoop

Handling Amazon QuickSight visualization

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Certification After the completion of the course, you will get a certificate from Intellipaat.

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Success Stories

Kevin K Wada

Thank you very much for your top-class service. A special mention

should be made for your patience in listening to my queries and giving

me a solution, which was exactly what I was looking for. I am giving you

a 10 on 10!

Sampson Basoah

The Intellipaat team helped me in selecting the perfect course that suits

my profile. The whole course was practically oriented, and the trainers

were always ready to answer any question. I found this course to be

impactful. Thank you.

Ashwani Kumar

Everything was so well explained. I liked the format and the materials.

By far, the best online training I have ever attended. I have never seen

such amazing trainers with excellent knowledge and answering

capabilities.

Sugandha Sinha

Intellipaat's course instructors were excellent and well-versed with their

concepts. The support team solved all my queries within the promised

24 hours. They explained all topics and concepts well, and the course

material was updated and included videos, exercises, etc. I would highly

recommend Intellipaat to those who wish to excel in the IT field.

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CONTACT US

INTELLIPAAT SOFTWARE SOLUTIONS PVT. LTD.

Bangalore

AMR Tech Park 3, Ground Floor, Tower B, Hongasandra Village, Bommanahalli, Hosur Road, Bangalore – 560068 USA

1219 E. Hillsdale Blvd. Suite 205, Foster City, CA 94404 If you have any further queries or just want to have a conversation with us, then do call us.

IND: +91-7022374614 | US: 1-800-216-8930