AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty (DAS-C01)

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Domain 1: Collection

1. Collection Section Introduction
1m
2. Kinesis Data Streams Overview
7m
3. Kinesis Producers
9m
4. Kinesis Consumers
8m
5. Kinesis Enhanced Fan Out
4m
6. Kinesis Scaling
5m
7. Kinesis Security
1m
8. Kinesis Data Firehose
8m
9. [Exercise] Kinesis Firehose, Part 1
6m
10. [Exercise] Kinesis Firehose, Part 2
7m
11. [Exercise] Kinesis Firehose, Part 3
9m
12. [Exercise] Kinesis Data Streams
7m
13. SQS Overview
7m
14. Kinesis Data Streams vs SQS
5m
15. IoT Overview
9m
16. IoT Components Deep Dive
7m
17. Database Migration Service (DMS)
7m
18. Direct Connect
4m
19. Snowball
6m
20. MSK: Managed Streaming for Apache Kafka
9m

Domain 2: Storage

1. S3 Overview
8m
2. S3 Storage Tiers
12m
3. S3 Lifecycle Rules
8m
4. S3 Versioning
3m
5. S3 Cross Region Replication
5m
6. S3 ETags
3m
7. S3 Performance
6m
8. S3 Encryption
8m
9. S3 Security
5m
10. Glacier & Vault Lock Policies
3m
11. S3 & Glacier Select
2m
12. DynamoDB Overview
7m
13. DynamoDB RCU & WCU
9m
14. DynamoDB Partitions
3m
15. DynamoDB APIs
9m
16. DynamoDB Indexes: LSI & GSI
5m
17. DynamoDB DAX
3m
18. DynamoDB Streams
2m
19. DynamoDB TTL
4m
20. DynamoDB Security
1m
21. DynamoDB: Storing Large Objects
4m
22. [Exercise] DynamoDB
9m
23. ElastiCache Overview
2m

Domain 3: Processing

1. What is AWS Lambda?
5m
2. Lambda Integration - Part 1
5m
3. Lambda Integration - Part 2
6m
4. Lambda Costs, Promises, and Anti-Patterns
4m
5. [Exercise] AWS Lambda
8m
6. What is Glue? + Partitioning your Data Lake
5m
7. Glue, Hive, and ETL
2m
8. Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks
7m
9. Glue Costs and Anti-Patterns
2m
10. Elastic MapReduce (EMR) Architecture and Usage
6m
11. EMR, AWS integration, and Storage
7m
12. EMR Promises; Intro to Hadoop
4m
13. Intro to Apache Spark
7m
14. Spark Integration with Kinesis and Redshift
4m
15. Hive on EMR
8m
16. Pig on EMR
2m
17. HBase on EMR
4m
18. Presto on EMR
3m
19. Zeppelin and EMR Notebooks
5m
20. Hue, Splunk, and Flume
4m
21. S3DistCP and Other Services
5m
22. EMR Security and Instance Types
6m
23. [Exercise] Elastic MapReduce, Part 1
10m
24. [Exercise] Elastic MapReduce, Part 2
11m
25. AWS Data Pipeline
5m
26. AWS Step Functions
4m

Domain 4: Analysis

1. Intro to Kinesis Analytics
4m
2. Kinesis Analytics Costs; RANDOM_CUT_FOREST
2m
3. [Exercise] Kinesis Analytics, Part 1
10m
4. [Exercise] Kinesis Analytics, Part 2
10m
5. Intro to Elasticsearch
9m
6. Amazon Elasticsearch Service
7m
7. [Exercise] Amazon Elasticsearch Service, Part 1
11m
8. [Exercise] Amazon Elasticsearch Service, Part 2
9m
9. [Exercise] Amazon Elasticsearch Service, Part 3
6m
10. Intro to Athena
5m
11. Athena and Glue, Costs, and Security
6m
12. [Exercise] AWS Glue and Athena
9m
13. Redshift Intro and Architecture
9m
14. Redshift Spectrum and Performance Tuning
5m
15. Redshift Durability and Scaling
4m
16. Redshift Distribution Styles
3m
17. Redshift Sort Keys
3m
18. Redshift Data Flows and the COPY command
8m
19. Redshift Integration / WLM / Vacuum / Anti-Patterns
11m
20. Redshift Resizing (elastic vs
4m
21. [Exercise] Redshift Spectrum, Pt
8m
23. Amazon Relational Database Service (RDS) and Aurora
4m

Domain 5: Visualization

1. Intro to Amazon Quicksight
7m
2. Quicksight Pricing and Dashboards; ML Insights
5m
3. Choosing Visualization Types
13m
4. [Exercise] Amazon Quicksight
10m
5. Other Visualization Tools (HighCharts, D3, etc)
3m

Domain 6: Security

1. Encryption 101
6m
2. S3 Encryption (Reminder)
8m
3. KMS Overview
6m
4. Cloud HSM Overview
2m
5. AWS Services Security Deep Dive (1/3)
6m
6. AWS Services Security Deep Dive (2/3)
5m
7. AWS Services Security Deep Dive (3/3)
9m
8. STS and Cross Account Access
2m
9. Identity Federation
10m
10. Policies - Advanced
6m
11. CloudTrail
6m
12. VPC Endpoints
3m

Everything Else

1. AWS Services Integrations
11m
2. Instance Types for Big Data
3m
3. EC2 for Big Data
2m

Preparing for the Exam

1. Exam Tips
9m
2. State of Learning Checkpoint
6m
3. Exam Walkthrough and Signup
4m
4. Save 50% on your AWS Exam Cost!
2m
5. Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only
1m

Appendix: Machine Learning topics for the legacy AWS Certified Big Data exam

1. Machine Learning 101
7m
2. Classification Models
6m
3. Amazon ML Service
6m
4. SageMaker
8m
5. Deep Learning 101
10m
6. [Exercise] Amazon Machine Learning, Part 1
8m
7. [Exercise] Amazon Machine Learning, Part 2
6m