Curriculum For This Course

Introduction

1Lectures

Time 00:03:00

Domain 1: Collection

19Lectures

Time 01:58:00

Domain 2: Storage

21Lectures

Time 01:46:00

Domain 3: Processing

32Lectures

Time 03:00:00

Domain 4: Analysis

23Lectures

Time 02:18:00

Domain 5: Visualization

6Lectures

Time 00:31:00

Domain 6: Security

12Lectures

Time 01:08:00

Everything Else

3Lectures

Time 00:16:00

Preparing for the Exam

4Lectures

Time 00:23:00

Introduction
	1. Introducing our Hands-On Case Study: Cadabra.com	3:00

Domain 1: Collection
	1. Collection Section Introduction	1:00
	2. Kinesis Data Streams Overview	7:00
	3. Kinesis Producers	9:00
	4. Kinesis Consumers	8:00
	5. Kinesis Enhanced Fan Out	4:00
	6. Kinesis Scaling	5:00
	7. Kinesis Security	1:00
	8. Kinesis Data Firehose	8:00
	9. [Exercise] Kinesis Firehose, Part 1	6:00
	10. [Exercise] Kinesis Firehose, Part 2	7:00
	11. [Exercise] Kinesis Firehose, Part 3	10:00
	12. [Exercise] Kinesis Data Streams	7:00
	13. SQS Overview	7:00
	14. Kinesis Data Streams vs SQS	5:00
	15. IoT Overview	9:00
	16. IoT Components Deep Dive	7:00
	17. Database Migration Service (DMS)	7:00
	18. Direct Connect	4:00
	19. Snowball	6:00

Domain 2: Storage
	1. S3 Overview	8:00
	2. S3 Storage Tiers	9:00
	3. S3 Lifecycle Rules	4:00
	4. S3 Versioning	3:00
	5. S3 Cross Region Replication	5:00
	6. S3 ETags	3:00
	7. S3 Performance	4:00
	8. S3 Encryption	8:00
	9. S3 Security	5:00
	10. Glacier & Vault Lock Policies	3:00
	11. DynamoDB Overview	7:00
	12. DynamoDB RCU & WCU	9:00
	13. DynamoDB Partitions	3:00
	14. DynamoDB APIs	9:00
	15. DynamoDB Indexes: LSI & GSI	5:00
	16. DynamoDB DAX	3:00
	17. DynamoDB Streams	2:00
	18. DynamoDB TTL	4:00
	19. DynamoDB Security	1:00
	20. [Exercise] DynamoDB	9:00
	21. ElastiCache Overview	2:00

Domain 3: Processing
	1. Section Introduction: Processing	1:00
	2. What is AWS Lambda?	5:00
	3. Lambda Integration - Part 1	5:00
	4. Lambda Integration - Part 2	6:00
	5. Lambda Costs, Promises, and Anti-Patterns	4:00
	6. [Exercise] AWS Lambda	8:00
	7. What is Glue? + Partitioning your Data Lake	5:00
	8. Glue, Hive, and ETL	2:00
	9. Glue Costs and Anti-Patterns	2:00
	10. Elastic MapReduce (EMR) Architecture and Usage	6:00
	11. EMR, AWS integration, and Storage	7:00
	12. EMR Promises; Intro to Hadoop	4:00
	13. Intro to Apache Spark	7:00
	14. Spark Integration with Kinesis and Redshift	4:00
	15. Hive on EMR	8:00
	16. Pig on EMR	2:00
	17. HBase on EMR	4:00
	18. Presto on EMR	3:00
	19. Zeppelin and EMR Notebooks	5:00
	20. Hue, Splunk, and Flume	4:00
	21. S3DistCP and Other Services	5:00
	22. EMR Security and Instance Types	6:00
	23. [Exercise] Elastic MapReduce, Part 1	10:00
	24. [Exercise] Elastic MapReduce, Part 2	11:00
	25. Machine Learning 101	7:00
	26. Classification Models	6:00
	27. Amazon ML Service	6:00
	28. SageMaker	8:00
	29. [Exercise] Amazon Machine Learning, Part 1	8:00
	30. [Exercise] Amazon Machine Learning, Part 2	6:00
	31. Deep Learning 101	10:00
	32. AWS Data Pipeline	5:00

Domain 4: Analysis
	1. Section Introduction: Analysis	1:00
	2. Intro to Kinesis Analytics	4:00
	3. Kinesis Analytics Costs; RANDOM_CUT_FOREST	2:00
	4. [Exercise] Kinesis Analytics, Part 1	10:00
	5. [Exercise] Kinesis Analytics, Part 2	10:00
	6. Intro to Elasticsearch	9:00
	7. Amazon Elasticsearch Service	7:00
	8. [Exercise] Amazon Elasticsearch Service, Part 1	11:00
	9. [Exercise] Amazon Elasticsearch Service, Part 2	9:00
	10. [Exercise] Amazon Elasticsearch Service, Part 3	6:00
	11. Intro to Athena	5:00
	12. Athena and Glue, Costs, and Security	6:00
	13. [Exercise] AWS Glue and Athena	9:00
	14. Redshift Intro and Architecture	9:00
	15. Redshift Spectrum and Performance Tuning	5:00
	16. Redshift Durability and Scaling	4:00
	17. Redshift Distribution Styles	3:00
	18. Redshift Sort Keys	3:00
	19. Redshift Data Flows	5:00
	20. Redshift Integration / WLM / Vacuum / Anti-Patterns	4:00
	21. [Exercise] Redshift Spectrum, Pt. 1	7:00
	22. [Exercise] Redshift Spectrum, Pt. 2	5:00
	23. Amazon Relational Database Service (RDS) and Aurora	4:00

Domain 5: Visualization
	1. Section Introduction: Visualization	1:00
	2. Intro to Amazon Quicksight	7:00
	3. Quicksight Pricing and Dashboards	2:00
	4. Choosing Visualization Types	8:00
	5. [Exercise] Amazon Quicksight	10:00
	6. Other Visualization Tools (HighCharts, D3, etc)	3:00

Domain 6: Security
	1. Encryption 101	6:00
	2. S3 Encryption (Reminder)	8:00
	3. KMS Overview	6:00
	4. Cloud HSM Overview	3:00
	5. AWS Services Security Deep Dive (1/3)	6:00
	6. AWS Services Security Deep Dive (2/3)	5:00
	7. AWS Services Security Deep Dive (3/3)	7:00
	8. STS and Cross Account Access	2:00
	9. Identity Federation	10:00
	10. Policies - Advanced	6:00
	11. CloudTrail	6:00
	12. VPC Endpoints	3:00

Everything Else
	1. AWS Services Integrations	11:00
	2. Instance Types for Big Data	3:00
	3. EC2 for Big Data	2:00

Preparing for the Exam
	1. Exam Tips	9:00
	2. State of Learning Checkpoint	7:00
	3. Exam Walkthrough and Signup	5:00
	4. Save 50% on your AWS Exam Cost!	2:00

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