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AWS Certified Big Data Specialty Certification | 5.47GB

Big data technologies are some of the most exciting and in-demand skills. These tools power large companies such as Google and Facebook and it is no wonder AWS is spending more time and resources developing certifications, and new services to catalyze the move to AWS big data solutions.

This course will provide you with much of the required knowledge needed to be prepared to take the AWS Big Data Specialty Certification. We will cover the different AWS (and non-AWS!) products and services that appear on the exam. Importantly - we will not cover material you should already have a solid understanding of such as AWS Identity and Access Management, and global infrastructure. For those foundational concepts, definitely review the AWS Certified Developer - Associate Level course here on Linux Academy.

Getting Started
Course Introduction

00:06:18

About the Course Author

00:01:10

About the AWS Big Data Specialty Course Exam

00:03:55

Course Features and Tools

00:04:44

Domain 1 - Collection
AWS IoT
IoT Overview

00:04:31

IoT Core

00:05:55

IoT Thing Registry

00:05:42

IoT Authorization and Authentication

00:08:15

IoT Message Broker

00:17:01

IoT Shadow Service

00:07:39

IoT Rules Engine

00:06:09

IoT Job Service

00:04:51

Hands-On Lab: Configuring Your First IoT Device

AWS Greengrass
Greengrass Overview

00:06:58

Kinesis
What is Kinesis?

00:03:50

Getting Data Into Kinesis

00:07:32

Kinesis Data Streams

00:11:24

Kinesis Data Firehose

00:09:23

Kinesis Data Firehose Destinations and Creating an Example Delivery Stream

00:22:00

Kinesis Limitations and Pricing

00:09:06

Hands-On Lab: Creating and Configuring Kinesis Streams and Kinesis Firehose in AWS

Hands-On Lab: Building a Pipeline to Ingest and Analyze Streaming Data

AWS Direct Connect
AWS Direct Connect Essentials

00:05:15

AWS Snowball and AWS Snowmobile
AWS Snowball and Snowmobile Overview

00:02:01

AWS Database Migration Service
AWS Database Migration Service Overview

00:06:57

Hands-On Lab: Migrating a Database Using DMS

Domain 2 - Storage
Amazon S3
Import S3 and DynamoDB Content Note

00:01:39

S3 Essentials

00:13:36

Moving Data to S3 with Multipart and Single Operation Uploads

00:01:55

S3 Permissions

00:13:56

Amazon S3 Encryption

00:08:07

Storage Classes and Lifecycle Policies

00:11:45

S3 Miscellany

00:04:46

S3 Performance

00:04:51

Amazon DynamoDB
DynamoDB Overview

00:03:39

DynamoDB Core Concepts

00:10:23

Provisioned Throughput

00:09:40

DynamoDB Read Operations

00:04:26

Local and Global Secondary Indexes

00:09:18

Common DynamoDB Errors and Limits

00:09:49

DynamoDB Global Tables, Atomic Counters, and Conditional Writes

00:05:54

DynamoDB Pricing

00:03:38

DynamoDB Streams

00:21:25

DynamoDB and S3 Recap

00:06:18

Hands-On Lab: Creating DynamoDB Tables

Hands-On Lab: Configuring DynamoDB Streams

Hands-On Lab: DynamoDB Read Operation Performance

Hands-On Lab: DynamoDB Tables and Global Secondary Indexes

Domain 3 - Processing
Amazon Elastic MapReduce (EMR)
EMR Overview

00:12:31

Configuring and Launching an EMR Cluster

00:13:23

Securing an EMR Cluster

00:08:26

Working with PySpark and S3

00:14:39

Hands-On Lab: Querying EMR Using Hive

Amazon Machine Learning (AML)
Introduction to Amazon Machine Learning (AML)

00:04:27

Using AWS Datasources with AML

00:08:02

Training Machine Learning Models

00:15:22

Amazon SageMaker
Introduction to SageMaker

00:03:45

AML vs. Amazon SageMaker

00:02:22

Lambda
Lambda Overview and Processing

00:23:29

AWS Data Pipeline
AWS Data Pipeline

00:22:56

AWS Glue
Introduction to AWS Glue

00:07:25

Essential Big Data Tools and Concepts
Overview of Big Data Tooling

00:01:06

Big Data Tools Terminology

00:04:23

Core Big Data Tools

00:09:56

Big Data Tools - GUIs and Data Exploration

00:04:48

Machine Learning Tools

00:01:59

Domain 4 - Analysis
Elasticsearch
ElasticSearch Overview

00:05:26

Elasticsearch Clusters and Access Policies

00:15:00

Elasticsearch and VPC

00:02:26

Elasticsearch, Kibana, and AWS Lambda

00:15:06

Hands-On Lab: Analyzing and Visualizing data with AWS Elasticsearch Service and Kibana

Athena
Amazon Athena Overview

00:11:28

Redshift
Introduction to Amazon Redshift

00:15:53

Redshift Cluster Configuration

00:15:30

Redshift Distribution Styles

00:09:24

Redshift Column Compression

00:08:48

Choosing Redshift Sort Keys

00:11:55

Loading and Unloading Data with Redshift

00:12:27

Hands-On Lab: Migrating Redshift Data to and from S3

Kinesis Analytics
Kinesis Analytics Overview

00:15:56

Domain 5 - Visualization
Quicksight
Quicksight Overview

00:13:10

Data Visualization Tools
javascript Visualization Tools

00:04:58

Hands-On Lab: Preparing S3 Data for Public Visualizations

Domain 6 - Security
Access
IAM Basics

00:03:24

IAM for Big Data

00:02:37

Auditing
CloudTrail Essentials

00:09:51

Encryption
Database Encryption

00:03:18

Course Conclusion
Final Steps
How to Prepare for the Exam

00:03:36

What's Next after the Certification?

00:02:00

Get Recognized

00:01:01

Practice Exam: AWS Big Data Specialty Certification - Practice Exam

02:00:00
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