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IT Certification

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AWS Certified Big Data - Speciality Certification

Learn the best course on AWS Certified Big Data - Speciality from one of the best Training Service Provider

3.95 (30 reviews)

Students

6 hours

Content

Apr 2020

Last Update
Regular Price


What you will learn

This course is aligned to the AWS Certified Big Data - Specialty exam. By taking this course you will be able to access our lesson end quizzes and course end assessments, which will prepare you for the certification exam. Through our 20+ demo videos,you will gain hands on experience.


Description

The Big Data on AWS course prepares you to perform distributed processing and covers all aspects of hosting big data on the AWS platform. You will learn about cloud based big data solutions and you will be able to use AWS Elastic MapReduce to process data and create big data environments.

This course has been aligned with industry best practices as it has been created by industry leaders.


Screenshots

AWS Certified Big Data - Speciality Certification
AWS Certified Big Data - Speciality Certification
AWS Certified Big Data - Speciality Certification
AWS Certified Big Data - Speciality Certification

Content

Course Introduction

Course Introduction

Lesson 1: Exam Details

Overview of Big Data on AWS Certification

Objective of Big Data on AWS Certification Course

Exam Pattern and Exam Syllabus

Recommended AWS Knowledge

Lesson 2: Big Data on AWS Introduction

Learning Objective

Cloud Computing Introduction, Advantages and Types

Cloud Deployment Models

Cloud Service Categories

AWS Cloud Platform

AWS Cloud Architecture Design Principles - Part 1

AWS Cloud Architecture Design Principles - Part 2

Why AWS for Big Data - Reasons and Challenges

Databases in AWS

Data Warehousing in AWS

AWS Services for Big Data - Redshift, Kinesis and EMR

AWS Services for Big Data - DynamoDB, Machine Learning and Lambda

AWS Services for Big Data - Elastic Search Services and EC2

Key Takeaway

Knowledge Check

Lesson 3: Big Data on AWS - Collection

Learning Objective

Amazon Kinesis and Kinesis Stream

Kinesis Data Stream Architecture and Core Components

Data Producer

Data Consumer

Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library

Kinesis Firehose

Demo - Put and Get Records from Kinesis Data Stream

Transferring Data using Lambda

Amazon SQS Lifecycle and Architecture

IoT and Big Data

IoT Framework

AWS Data Pipelines and Data Nodes

Activity, Pre-condition and Schedule

Demo - Import Data From S3 into DynamoDB using Data Pipeline

Key Takeaway

Knowledge Check

Lesson 4: Big Data on AWS - Storage

Learning Objective

Amazon Glacier and Big Data

DynamoDB Introduction

DynamoDB and EMR

DynamoDB Partitions and Distributions

DynamoDB GSI LSI

DynamoDB Stream and Cross Region Replication

DynamoDB Performance and Partition Key Selection

Snowball and AWS Big Data

AWS DMS

AWS Aurora in Big Data

Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 1

Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 2

Key Takeaway

Knowledge Check

Lesson 5: Big Data on AWS - Processing

Learning Objective

Amazon EMR

Demo - Analyzing Big Data with Amazon EMR

Apache Hadoop

EMR Architecture

EMR Operations: Releases and Cluster

EMR Operations: Choosing Instance and Monitoring

Demo - Advance EMR Setting Options

Hive on EMR

HBase with EMR

Presto with EMR

Spark with EMR

EMR File Storage

Demo - Analyzing Large Data Set using Hive and Spark

AWS Lambda

Key Takeaway

Knowledge Check

Lesson 6: Big Data on AWS - Analysis

Learning Objective

Redshift Intro and Use cases

Redshift Architecture

MPP and Redshift in AWS Eco-System

Columnar Databases

Redshift Table Design - Part 1

Redshift Table Design - Part 2

Demo - Generating Random Dataset in EC2 and Loading it in S3

Demo - Redshift Maintenance and Operations

Machine Learning Introduction

Machine Learning Algorithm

Amazon SageMaker

Amazon Elastic Search

Amazon Elastic Search Services

Demo - Loading Data Set into Elasticsearch

Logstash and R Studio

Demo - Fetching the File and Analyzing it using RStudio

Athena

Demo - Running Query on S3 using the Serverless Athena

Demo - Creating a Redshift Cluster, Loading the Data Set into it from S3 - Part1

Demo - Creating a Redshift Cluster, Loading the Data Set into it from S3 - Part2

Key Takeaway

Knowledge Check

Lesson 7: Big Data on AWS - Visualization

Learning Objective

Amazon QuickSight

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

Demo - Creating an Analysis using Your Own Amazon S3 Data

Visual Types

Stories

Big Data Visualization

Key Takeaway

Knowledge Check

Lesson 8: Big Data on AWS - Security

Learning Objective

EMR Security and Security Group

Roles and Private Subnet

Encryption at Rest and In-transit

Redshift Security

Encryption at Rest using CloudHSM

Cloud HSM vs AWS KMS

Limit Data Access

Key Takeaway

Knowledge Check

Course End Project


2889562

Udemy ID

3/20/2020

Course created date

6/20/2020

Course Indexed date
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