AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty (DAS-C01)
Get ready for your exam by enrolling in our comprehensive training course. This course includes a full set of instructional videos designed to equip you with in-depth knowledge essential for passing the certification exam with flying colors.
What’s included
- 123 : Lectures
- 12h 9m : Duration
$14.99/24.99
Domain 1: Collection
| Lectures |
|---|
| 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
| Lectures |
|---|
| 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
| Lectures |
|---|
| 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
| Lectures |
|---|
| 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
| Lectures |
|---|
| 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
| Lectures |
|---|
| 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
| Lectures |
|---|
| 1. AWS Services Integrations- 11m |
| 2. Instance Types for Big Data- 3m |
| 3. EC2 for Big Data- 2m |
Preparing for the Exam
| Lectures |
|---|
| 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
| Lectures |
|---|
| 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 |
