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

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  • 137 Students Enrolled
  • 124 Lectures
  • 12 Hours
  • 5.0 Rating
$27.49
$24.99

Curriculum For This 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

  • Domain 2: Storage

    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

  • Domain 3: Processing

    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

  • Domain 4: Analysis

    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

  • Domain 5: Visualization

    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

  • Domain 6: Security

    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

  • Everything Else

    Video Name Time
    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

    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

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

    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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