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

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

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

4m 1. Intro to Kinesis Analytics 2m 2. Kinesis Analytics Costs; RANDOM_CUT_FOREST 10m 3. [Exercise] Kinesis Analytics, Part 1 10m 4. [Exercise] Kinesis Analytics, Part 2 9m 5. Intro to Elasticsearch 7m 6. Amazon Elasticsearch Service 11m 7. [Exercise] Amazon Elasticsearch Service, Part 1 9m 8. [Exercise] Amazon Elasticsearch Service, Part 2 6m 9. [Exercise] Amazon Elasticsearch Service, Part 3 5m 10. Intro to Athena 6m 11. Athena and Glue, Costs, and Security 9m 12. [Exercise] AWS Glue and Athena 9m 13. Redshift Intro and Architecture 5m 14. Redshift Spectrum and Performance Tuning 4m 15. Redshift Durability and Scaling 3m 16. Redshift Distribution Styles 3m 17. Redshift Sort Keys 8m 18. Redshift Data Flows and the COPY command 11m 19. Redshift Integration / WLM / Vacuum / Anti-Patterns 4m 20. Redshift Resizing (elastic vs 8m 21. [Exercise] Redshift Spectrum, Pt 4m 22. Amazon Relational Database Service (RDS) and Aurora

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

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

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

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

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