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AWS Certified Data Analytics Specialty Online Course - RETIRED

AWS Certified Data Analytics Specialty Online Course


The AWS Certified Data Analytics – Specialty exam was retired on April 8, 2024 - Learn more about AWS Certified Data Engineer - Associate (DEA-C01)


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

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