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

Best Seller 123 Lectures 12h 9m
Prepare for your Amazon AWS examination with our training course. The DAS-C01 course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Amazon AWS certification exam. Pass the Amazon AWS DAS-C01 test with flying colors.
$14.99$24.99
Curriculum For This Course

  • 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
  • 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
  • 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
  • 22. Amazon Relational Database Service (RDS) and Aurora 4m
  • 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
  • 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
  • 1. AWS Services Integrations 11m
  • 2. Instance Types for Big Data 3m
  • 3. EC2 for Big Data 2m
  • 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
  • 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

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