AWS DATA ANALYTICS SPECIALTY: CERTIFICATION vs. LINUX ACADEMY COURSE SYLLABUS

AWS DATA ANALYTICS SPECIALTY – CERTIFICATION
  • Analytics:
    • Amazon Athena
    • Amazon CloudSearch
    • Amazon Elasticsearch Service (Amazon ES)
    • Amazon EMR
    • AWS Glue
    • Amazon Kinesis (excluding Kinesis Video Streams)
    • AWS Lake Formation
    • Amazon Managed Streaming for Apache Kafka
    • Amazon QuickSight
    • Amazon Redshift
  • Application Integration:
    • Amazon MQ
    • Amazon Simple Notification Service (Amazon SNS)
    • Amazon Simple Queue Service (Amazon SQS)
    • AWS Step Functions
  • Compute:
    • Amazon EC2
    • Elastic Load Balancing
    • AWS Lambda
  • Customer Engagement:
    • Amazon Simple Email Service (Amazon SES)
  • Database:
    • Amazon DocumentDB (with MongoDB compatibility)
    • Amazon DynamoDB
    • Amazon ElastiCache
    • Amazon Neptune
    • Amazon RDS
    • Amazon Redshift
    • Amazon Timestream
  • Management and Governance:
    • AWS Auto Scaling
    • AWS CloudFormation
    • AWS CloudTrail
    • Amazon CloudWatch
    • AWS Trusted Advisor
  • Machine Learning:
    • Amazon SageMaker
  • Migration and Transfer:
    • AWS Database Migration Service (AWS DMS)
    • AWS DataSync
    • AWS Snowball
    • AWS Transfer for SFTP
    • Networking and Content Delivery:
    • Amazon API Gateway
    • AWS Direct Connect
    • Amazon VPC (and associated features)
  • Security, Identity, and Compliance:
    • AWS AppSync
    • AWS Artifact
    • AWS Certificate Manager (ACM)
    • AWS CloudHSM
    • Amazon Cognito
    • AWS Identity and Access Management (IAM)
    • AWS Key Management Service (AWS KMS)
    • Amazon Macie
    • AWS Secrets Manager
    • AWS Single Sign-On
  • Storage:
    • Amazon Elastic Block Store (Amazon EBS)
    • Amazon S3
    • Amazon S3 Glacier
AWS DATA ANALYTICS SPECIALTY – LINUX ACADEMY COURSE SYLLABUS
  • Introduction:
    • Welcome to the Course!
    • Prerequisites and Course Overview
    • Exam Overview
    • What is Data Analytics?
  • Amazon Simple Storage Service
    • Introduction to S3
    • Getting Data Into S3 – Concepts, AWS Management Console, AWS CLI (Part 1 and 2)
    • S3 Multipart Upload (Part 1 and 2)
    • S3 Storage Classes
    • S3 Lifecycle Policies
    • S3 Security and Encryption
    • Checkpoint
    • Hands-On Lab: Programmatically Utilizing Data From S3
  • Databases In AWS
    • Introduction to Databases In AWS
    • Database Engine Types
    • Relational Database Service (RDS)
    • Neptune
    • DocumentDB
    • Serverless Options0
    • Checkpoint
    • Hands-On Lab: Programmatically Utilizing S3 Select
  • Collecting Streaming Data
    • Introduction to Collecting Streaming Data
    • The Kinesis Family
    • Kinesis Data Streams (Part 1and 2)
    • Kinesis Data Firehose (Part 1and 2)
    • Kinesis Video Streams
    • Kinesis Data Analytics (Part 1 and 2)
    • Amazon Managed Service for Kafka (MSK)
    • Checkpoint
    • Hands-On Lab: Joining, Enriching, and Transforming Streaming Data With Amazon Kinesis
  • Data Collection and Getting Data Into AWS
    • Introduction to Data Collection and Getting Data Into AWS
    • Direct Connect, Snowball, Snowball Edge, Snowmobile
    • Database Migration Service
    • Data Pipeline
    • Lambda, API Gateway, and CloudFront (Part 1 and 2)
    • Comparing Our Options
    • Checkpoint
  • Amazon Elastic Map Reduce (EMR)
    • Introduction to Amazon Elastic Map Reduce (EMR)
    • Apache Hadoop and EMR Software Collection
    • EMR Architecture
    • EMR Operations – Transient vs Long-Running
    • EMR Operations – Choosing an Instance Type
    • EMR Operations – Choosing the Right Number of Instances
    • EMR Operations – On-Demand and Spot Instances
    • EMR Operations – Monitoring and Resizing Clusters
    • EMR File Storage and Compression
    • Checkpoint
    • Hands-On Lab: Data Analytics with Spark and EMR
  • Using Redshift
    • Introduction to Using Redshift
    • Redshift Architecture
    • Redshift in the AWS Service Ecosystem
    • Redshift Use Cases
    • Redshift Table Design
    • Redshift Spectrum
    • Hands-On Lab: Querying Data from Multiple Redshift Spectrum Tables
  • Redshift Maintenance and Operations
    • Launching a Redshift Cluster
    • Resizing a Redshift Cluster
    • Utilizing Vacuum and Deep Copy
    • Backup and Restore
    • Monitoring
    • Checkpoint
    • Hands-On Lab: Manually Migrating Data Between Redshift Clusters
  • AWS Glue, Athena, and QuickSight
    • Introduction to AWS Glue, Athena, and QuickSight
    • Glue Data Catalog (Part 1 and 2)
    • Glue Jobs (Part 1, 2 and 3)
    • Job Bookmarks
    • Getting Started with Athena
    • Athena Demo
    • When To Use Athena
    • QuickSight Visualizations and Dashboards
    • QuickSight Security and Authentication
    • Checkpoint
  • Elasticsearch
    • Introduction to Elasticsearch
    • Using Elasticsearch
    • Visualizing Elasticsearch Data
    • Checkpoint
    • Hands-On Lab: Implementing an Elasticsearch Backed Search Microservice
  • AWS Security Services
    • Introduction to AWS Security Services
    • IAM
    • KMS
    • Secrets Manager
    • VPC Network Security Features
    • Checkpoint
    • Hands-On Lab: Advanced S3 Security Configuration
  • Wrap-Up
    • Practice Exam / Quiz:AWS Certified Data Analytics Specialty – Practice Exam

Read more about the certification content here. Read more about the Linux Academy (now Cloud Guru) course here.