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

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