AWS Certified Data Analytics Specialty Online Course

AWS Certified Data Analytics Specialty Online Course

The course has been fully updated for the latest AWS Certified Data Analytics-Specialty DAS-C01 exam (including new coverage of Glue DataBrew, Elastic Views, Glue Studio, OpenSearch, and AWS Lake Formation). 

In this course, you will learn streaming massive data with AWS Kinesis; queuing messages with Simple Queue Service (SQS); wrangling the explosion data from the Internet of Things (IOT); transitioning from small to big data with the AWS Database Migration Service (DMS); storing massive data lakes with the Simple Storage Service (S3); optimizing transactional queries with DynamoDB; tying your big data systems together with AWS Lambda; making unstructured data query-able with AWS Glue, Glue ETL, Glue DataBrew etc.

Table of Contents

Introduction

• Course Overview
• Introducing our Hands-On Case Study: Cadabra.com
• Cost of the Course + AWS (Amazon Web Services) Budget Setup

Collection Section Introduction

• Kinesis Data Streams Overview
• Kinesis Producers
• Kinesis Consumers
• Kinesis Data Streams - Hands On
• Kinesis Enhanced Fan Out
• Kinesis Scaling
• Kinesis - Handling Duplicate Records
• Kinesis Security
• Kinesis Data Firehose
• CloudWatch Subscription Filters with Kinesis
• (Exercise) Kinesis Firehose, Part 1
• (Exercise) Kinesis Firehose, Part 2
• (Exercise) Kinesis Firehose, Part 3
• (Exercise) Kinesis Data Streams
• SQS Overview
• Kinesis Data Streams Versus SQS
• IoT Overview
• IoT Components Deep Dive
• Database Migration Service (DMS)
• Direct Connect
• Snow Family
• MSK: Managed Streaming for Apache Kafka
• MSK Connect
• MSK Serverless
• Kinesis vs MSK

Domain 2: Storage

• S3 Overview
• S3 Hands-On
• S3 Security: Bucket Policy
• S3 Security: Bucket Policy Hands-On
• S3 Versioning
• S3 Versioning - Hands On
• S3 Replication
• S3 Replication Notes
• S3 Replication – Hands-On
• S3 Storage Classes Overview
• S3 Storage Classes Hands-On
• S3 Lifecycle Rules (with S3 Analytics)
• S3 Lifecycle Rules – Hands-On
• S3 Event Notifications
• S3 Event Notifications – Hands-On
• S3 Performance
• S3 Select and Glacier Select
• S3 Encryption
• S3 Encryption – Hands-On
• S3 Default Encryption Versus and Bucket Policies
• S3 Access Points and Object Lambda
• DynamoDB Overview
• DynamoDB Basics - Hands-On
• DynamoDB in Big data
• DynamoDB RCU and WCU - Throughput
• DynamoDB RCU and WCU – Hands-On
• DynamoDB Basic APIs
• DynamoDB Basic APIs – Hands-On
• DynamoDB Indexes (GSI + LSI)
• DynamoDB Indexes (GSI + LSI) – Hands-On
• DynamoDB PartiQL
• DynamoDB DAX
• DynamoDB DAX - Hands-On
• DynamoDB Streams
• DynamoDB Streams – Hands-On
• DynamoDB TTL
• DynamoDB Patterns with S3
• DynamoDB Security
• (Exercise) DynamoDB
• ElastiCache Overview

Domain 3: Processing

• Section Introduction: Processing
• What Is AWS Lambda?
• Lambda Integration - Part 1
• Lambda Integration - Part 2
• Lambda Costs, Promises, and Anti-Patterns
• (Exercise) AWS Lambda
• What Is Glue? + Partitioning Your Data Lake
• Glue, Hive, and ETL
• Modifying the Glue Data Catalog from ETL Scripts
• Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks
• Glue Costs and Anti-Patterns
• AWS Glue Studio
• AWS Glue DataBrew
• AWS Glue Elastic Views (Coming Soon...)
• AWS Lake Formation
• Elastic MapReduce (EMR) Architecture and Usage
• EMR, AWS integration, and Storage
• EMR Promises; Introduction to Hadoop
• EMR Serverless
• Introduction to Apache Spark
• Spark Integration with Kinesis and Redshift
• Hive on EMR
• Pig on EMR
• HBase on EMR
• Presto on EMR
• Zeppelin and EMR Notebooks
• Hue, Splunk, and Flume
• S3DistCP and Other Services
• EMR Security and Instance Types
• (Exercise) Elastic MapReduce, Part 1
• (Exercise) Elastic MapReduce, Part 2
• AWS Data Pipeline
• AWS Step Functions

Domain 4: Analysis

• Section Introduction: Analysis
• Introduction to Kinesis Analytics
• Kinesis Analytics Costs; RANDOM_CUT_FOREST
• (Exercise) Kinesis Analytics, Part 1
• (Exercise) Kinesis Analytics, Part 2
• (Exercise) Kinesis Analytics, Part 3
• (Exercise) Kinesis Analytics, Part 4
• Introduction to OpenSearch (formerly Elasticsearch)
• Amazon OpenSearch Service
• OpenSearch Index Management and Designing for Stability
• Amazon OpenSearch Service Performance
• (Exercise) Amazon OpenSearch Service
• Introduction to Athena
• Athena and Glue, Costs, and Security
• Athena Performance
• Athena ACID Transactions
• (Exercise) AWS Glue and Athena
• Redshift Introduction and Architecture
• Redshift Spectrum and Performance Tuning
• Redshift Durability and Scaling
• Redshift Distribution Styles
• Redshift Sort Keys
• Redshift Data Flows and the COPY command
• Redshift Integration / WLM / Vacuum / Anti-Patterns
• Redshift Resizing (Elastic Versus Classic) and New Redshift Features in 2020
• Newer Redshift Features, AQUA
• Redshift Security Concerns
• Redshift Serverless
• (Exercise) Redshift Spectrum, Part 1
• (Exercise) Redshift Spectrum, Part 2
• Amazon Relational Database Service (RDS) and Aurora

Domain 5: Visualization

• Section Introduction: Visualization
• Introduction to Amazon QuickSight
• QuickSight Pricing and Dashboards; ML Insights
• QuickSight Q
• Choosing Visualization Types
• (Exercise) Amazon QuickSight
• Other Visualization Tools (HighCharts, D3, and More)

Domain 6: Security

• Encryption 101
• S3 Encryption (Reminder)
• KMS Overview
• KMS Key Rotation
• Cloud HSM Overview
• AWS Services Security Deep Dive (1/3)
• AWS Services Security Deep Dive (2/3)
• AWS Services Security Deep Dive (3/3)
• STS and Cross Account Access
• Identity Federation
• Policies - Advanced
• CloudTrail
• VPC Endpoints

Everything Else

• AWS Services Integrations
• Instance Types for Big Data
• EC2 for Big Data
• Interacting with Data with AWS AppSync and Amazon Kendra
• AWS Data Exchange
• Amazon AppFlow

Preparing for the Exam

• Exam Tips
• State of Learning Checkpoint
• Exam Walkthrough and Signup
• Save 50% on Your AWS Exam Cost!
• Get an Extra 30 Minutes in Your AWS Exam - Non-Native English Speakers Only

Appendix - Machine Learning Topics for the Legacy AWS Certified Big Data Exam

• Machine Learning 101
• Classification Models
• Amazon ML Service
• SageMaker
• Deep Learning 101
• (Exercise) Amazon Machine Learning, Part 1
• (Exercise) Amazon Machine Learning, Part 2

Wrapping Up

• Congratulations! Now, Make Sure You Are Ready