AWS

1. Data & Analytics

1.1. Athena

1.1.1. Performance Improvement

1.1.2. Feredated Query

1.2. Redshift

1.2.1. Cluster

1.2.2. Snapshot & DR

1.2.3. Loading Data

1.2.4. Spectrum

1.3. Open Search

1.3.1. Pattern

1.3.1.1. Dynamo DB

1.3.1.2. Cloudwatch log

1.3.1.3. Kinesis data stream & Kinesis firehose

1.4. Amazon EMR

1.4.1. Node type & Purchasing

1.5. Amazon QuickSight

1.5.1. Overview about dashboard

1.5.2. Integrations

1.5.2.1. Amazon Services

1.5.2.2. SaaS

1.5.2.3. 3rd party database

1.6. Glue (Serverless ETL service)

1.6.1. Glue Data Catalog

1.6.2. Glue job Bookmarks

1.6.3. Glue Elastic Views

1.6.4. Glue Data Brew

1.6.5. Glue Studio

1.6.6. Glue Streaming ETl

1.7. AWS Lake Formation

1.8. Kinesis data analytics

1.8.1. for SQL Application

1.8.2. for Apache Flink

1.9. Amazon MSK

2. Machine Learning

2.1. Amazon Rekognition

2.1.1. Content Moderation

2.2. Amazon Transcribe

2.3. Amazon Polly

2.4. Amazon Translate

2.5. Amazon Lex

2.6. Amazon Connect

2.7. Amazon Comprehend

2.8. Amazon Comprehend Medical

2.9. Amazon Sage Maker

2.10. Amazon Forecast

2.11. Amazon Kendra

2.12. Amazon Personalize

2.13. Amazon Textract

3. Monitoring, TroubleShooting & Audit

3.1. CloudWatch Metrics

3.2. CloudWatch Logs

3.3. CloudWatch Log Agent & Unified Agent

3.4. CloudWatch Alarm

3.5. Amazon Event Bridge (formerly Cloudwatch Event)

3.6. CloudWatch container insight

3.7. CloudWatch Lambda Insight

3.8. CloudWatch contributor insight

3.9. CloudWatch Application Insight

3.10. CloudTrail

3.10.1. CloudTrails Events

3.10.1.1. Retention

3.11. AWS Config

4. Identity & Access Management

4.1. AWS Organizations

4.2. IAM Conditions

4.3. IAM Roles vs Resources Based Policy

4.4. IAM Boundaries

4.5. AWS Single Sign On

4.6. AWS Cognito

4.6.1. Cognito User Pools

4.6.2. Cognito Identity Pools