AWS Certified Data Analytics - Specialty (DAS-C01) Video Course

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.

# of Students
109
# of Lectures
124
Course Length
12 h
Course Rating
4.5
Price $32.99
Today $29.99

Curriculum for AWS Certified Data Analytics - Specialty Video Course

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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