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AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty (DAS-C01)
Your Amazon AWS Certified Data Analytics - Specialty exam is just around the corner, right? So, it's high time to find an effective preparation tool! Our training course is what you really need! This is a series of videos led by the experienced IT instructors who will provide you with a detailed overview of the AWS Certified Data Analytics - Specialty certification test. Ace your Amazon AWS Certified Data Analytics - Specialty at the first attempt and obtain the AWS Certified Data Analytics - Specialty (DAS-C01) credential with ease.
109
124
12 h
4.5
Price $27.49
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Curriculum for AWS Certified Data Analytics - Specialty Video Course
1. Domain 1: Collection
20 Lectures
02:06:00
2. Domain 2: Storage
23 Lectures
02:01:00
3. Domain 3: Processing
26 Lectures
02:19:00
4. Domain 4: Analysis
23 Lectures
02:33:00
5. Domain 5: Visualization
5 Lectures
00:38:00
6. Domain 6: Security
12 Lectures
01:09:00
7. Everything Else
3 Lectures
00:16:00
8. Preparing for the Exam
5 Lectures
00:22:00
9. Appendix: Machine...
7 Lectures
00:51:00
Domain 1: Collection
| Video Name | Time | |
|---|---|---|
| 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 | 9:00 | |
| 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 | |
| 20. MSK: Managed Streaming for Apache Kafka | 9:00 |
| Video Name | Time | |
|---|---|---|
| 1. S3 Overview | 8:00 | |
| 2. S3 Storage Tiers | 12:00 | |
| 3. S3 Lifecycle Rules | 8:00 | |
| 4. S3 Versioning | 3:00 | |
| 5. S3 Cross Region Replication | 5:00 | |
| 6. S3 ETags | 3:00 | |
| 7. S3 Performance | 6:00 | |
| 8. S3 Encryption | 8:00 | |
| 9. S3 Security | 5:00 | |
| 10. Glacier & Vault Lock Policies | 3:00 | |
| 11. S3 & Glacier Select | 2:00 | |
| 12. DynamoDB Overview | 7:00 | |
| 13. DynamoDB RCU & WCU | 9:00 | |
| 14. DynamoDB Partitions | 3:00 | |
| 15. DynamoDB APIs | 9:00 | |
| 16. DynamoDB Indexes: LSI & GSI | 5:00 | |
| 17. DynamoDB DAX | 3:00 | |
| 18. DynamoDB Streams | 2:00 | |
| 19. DynamoDB TTL | 4:00 | |
| 20. DynamoDB Security | 1:00 | |
| 21. DynamoDB: Storing Large Objects | 4:00 | |
| 22. [Exercise] DynamoDB | 9:00 | |
| 23. ElastiCache Overview | 2:00 |
| Video Name | Time | |
|---|---|---|
| 1. What is AWS Lambda? | 5:00 | |
| 2. Lambda Integration - Part 1 | 5:00 | |
| 3. Lambda Integration - Part 2 | 6:00 | |
| 4. Lambda Costs, Promises, and Anti-Patterns | 4:00 | |
| 5. [Exercise] AWS Lambda | 8:00 | |
| 6. What is Glue? + Partitioning your Data Lake | 5:00 | |
| 7. Glue, Hive, and ETL | 2:00 | |
| 8. Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks | 7:00 | |
| 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. AWS Data Pipeline | 5:00 | |
| 26. AWS Step Functions | 4:00 |
| Video Name | Time | |
|---|---|---|
| 1. Intro to Kinesis Analytics | 4:00 | |
| 2. Kinesis Analytics Costs; RANDOM_CUT_FOREST | 2:00 | |
| 3. [Exercise] Kinesis Analytics, Part 1 | 10:00 | |
| 4. [Exercise] Kinesis Analytics, Part 2 | 10:00 | |
| 5. Intro to Elasticsearch | 9:00 | |
| 6. Amazon Elasticsearch Service | 7:00 | |
| 7. [Exercise] Amazon Elasticsearch Service, Part 1 | 11:00 | |
| 8. [Exercise] Amazon Elasticsearch Service, Part 2 | 9:00 | |
| 9. [Exercise] Amazon Elasticsearch Service, Part 3 | 6:00 | |
| 10. Intro to Athena | 5:00 | |
| 11. Athena and Glue, Costs, and Security | 6:00 | |
| 12. [Exercise] AWS Glue and Athena | 9:00 | |
| 13. Redshift Intro and Architecture | 9:00 | |
| 14. Redshift Spectrum and Performance Tuning | 5:00 | |
| 15. Redshift Durability and Scaling | 4:00 | |
| 16. Redshift Distribution Styles | 3:00 | |
| 17. Redshift Sort Keys | 3:00 | |
| 18. Redshift Data Flows and the COPY command | 8:00 | |
| 19. Redshift Integration / WLM / Vacuum / Anti-Patterns | 11:00 | |
| 20. Redshift Resizing (elastic vs. classic) and new Redshift features in 2020 | 4:00 | |
| 21. [Exercise] Redshift Spectrum, Pt. 1 | 8:00 | |
| 22. [Exercise] Redshift Spectrum, Pt. 2 | 6:00 | |
| 23. Amazon Relational Database Service (RDS) and Aurora | 4:00 |
| Video Name | Time | |
|---|---|---|
| 1. Intro to Amazon Quicksight | 7:00 | |
| 2. Quicksight Pricing and Dashboards; ML Insights | 5:00 | |
| 3. Choosing Visualization Types | 13:00 | |
| 4. [Exercise] Amazon Quicksight | 10:00 | |
| 5. Other Visualization Tools (HighCharts, D3, etc) | 3:00 |
| Video Name | Time | |
|---|---|---|
| 1. Encryption 101 | 6:00 | |
| 2. S3 Encryption (Reminder) | 8:00 | |
| 3. KMS Overview | 6:00 | |
| 4. Cloud HSM Overview | 2:00 | |
| 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) | 9:00 | |
| 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 |
| Video Name | Time | |
|---|---|---|
| 1. AWS Services Integrations | 11:00 | |
| 2. Instance Types for Big Data | 3:00 | |
| 3. EC2 for Big Data | 2:00 |
| Video Name | Time | |
|---|---|---|
| 1. Exam Tips | 9:00 | |
| 2. State of Learning Checkpoint | 6:00 | |
| 3. Exam Walkthrough and Signup | 4:00 | |
| 4. Save 50% on your AWS Exam Cost! | 2:00 | |
| 5. Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only | 1:00 |
| Video Name | Time | |
|---|---|---|
| 1. Machine Learning 101 | 7:00 | |
| 2. Classification Models | 6:00 | |
| 3. Amazon ML Service | 6:00 | |
| 4. SageMaker | 8:00 | |
| 5. Deep Learning 101 | 10:00 | |
| 6. [Exercise] Amazon Machine Learning, Part 1 | 8:00 | |
| 7. [Exercise] Amazon Machine Learning, Part 2 | 6:00 |
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