AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty (DAS-C01) IT Certification Training Course

Curriculum For This Course

Domain 1: Collection

20Lectures

Time 02:06:00

Domain 2: Storage

23Lectures

Time 02:01:00

Domain 3: Processing

26Lectures

Time 02:19:00

Domain 4: Analysis

23Lectures

Time 02:33:00

Domain 5: Visualization

5Lectures

Time 00:38:00

Domain 6: Security

12Lectures

Time 01:09:00

Everything Else

3Lectures

Time 00:16:00

Preparing for the Exam

5Lectures

Time 00:22:00

Appendix: Machine Learning topics for the legacy AWS Certified Big Data exam

7Lectures

Time 00:51:00

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	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

Domain 2: Storage
	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

Domain 3: Processing
	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

Domain 4: Analysis
	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

Domain 5: Visualization
	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

Domain 6: Security
	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

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	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

Appendix: Machine Learning topics for the legacy AWS Certified Big Data exam
	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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AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty (DAS-C01)

Curriculum For This Course

Free AWS Certified Data Analytics - Specialty Exam Questions & Amazon AWS Certified Data Analytics - Specialty Dumps

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