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Become an AWS Certified Data Engineer

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Learn how to become an AWS Certified Data Engineer -Associate with hands-on learning.


1. Introduction
  • 1. Introduction
  • 2. Course Structure and Agenda
  • 3. Important Note.html
  • 4. Day-to-Day Activities of an AWS Data Engineer
  • 5. Note Taking.html
  • 6.1 2a.The-Value-of-AWS-Certified-Data-Engineer.pdf
  • 6. The Value of AWS Certified Data Engineer
  • 7. What is Data Analytics and Data Analysis Solutions
  • 8. How to Create S3 Bucket with Amazon Q and New AWS Management Console
  • 9. Challenges of Data Analytics

  • 2. Data Ingestion and Transformation (34% of scored content)
  • 1.1 3a.Throughput-and-Latency.pdf
  • 1. Throughput VS Latency
  • 2.1 3b.Replayability-and-Stateful-vs-Stateless-Transactions.pdf
  • 2. Replayability, Stateful Vs Stateless Transactions
  • 3. ETL Process
  • 4.1 31a.AWS-Step-Functions-Use-Cases.pdf
  • 4. AWS Step Functions Use Cases Architectures
  • 5. Exercise AWS Step Functions.html
  • 6. AWS Step Functions Workshop
  • 7. AWS Athena
  • 8. What is Kubernetes
  • 9. How to Create Kubernetes Cluster
  • 10. Cloud VS Distributed Computing.html
  • 11. Common Data Transformation Issues and Debugging.html
  • 12. Understanding DevOps
  • 13. Continuous Integration Continuous Delivery
  • 14. CICD Difference
  • 15. What is Fan-in Fan-out in Stream Data Distribution.html
  • 16. Understanding Even Driven Architecture.html
  • 17. How to configure AWS services for data pipelines.html

  • 3. Cloud Data Migration
  • 1. Cloud Migration Benefits
  • 2. Cloud Migration Strategies
  • 3. Cloud Migration Process
  • 4. AWS Migration Hub
  • 5. Discovering your network infrastructure
  • 6. Migrating your network infrastructure
  • 7. Amazon EC2 recommendations
  • 8. Migration acceleration program
  • 9. AWS managed services
  • 10. AWS Cloud data migration services
  • 11. Online and offline data migration
  • 12. Server migration service
  • 13. How database migration service works
  • 14. Database migration use cases
  • 15. AWS Schema conversion tool
  • 16. Sample database migration to AWS
  • 17. Database migration best practices

  • 4. Domain 2 Data Store Management (26% of scored content)
  • 1. Data Volume
  • 2. Types of Data
  • 3. AWS S3 Storage Explained
  • 4. How to Create Amazon S3 Bucket
  • 5. Create S3 Bucket and Cross Region Replication
  • 6. Introduction to Data Lakes Architecture
  • 7. AWS Data Lake In-Depth
  • 8. AWS Glue - AWS Athena
  • 9. Data Storage Methods
  • 10. Data Warehouses
  • 11. Amazon RDS
  • 12. Amazon DynamoDB
  • 13. AWS DynamoDB Hands-on Lab
  • 14. Amazon SageMaker

  • 5. AWS Sage Maker and Machine Learning
  • 1. The AWS Machine Learning Service
  • 2. First steps in building a ML Model
  • 3. Understanding AWS Datasources
  • 4. ML Training Models
  • 5. Importance of Feature Transformation
  • 6. Evaluating Models
  • 7. Preparing data for Machine Learning
  • 8. Creating a datasource and model in AWS
  • 9. Serverless ML Inference with AWS Lambda
  • 10. What is SageMaker Revisited
  • 11. Setting up AWS to use SageMaker
  • 12. Machine Learning in SageMaker
  • 13. Intro to Linear Learner
  • 14. Preparing data for Linear Learner algorithm
  • 15. Training data using Linear Learner
  • 16. Creating a hyperparameter tuning job

  • 6. Domain 3 Data Operations and Support (22% of scored content) Velocity Data
  • 1. Batch Data Processing
  • 2. Batch Processing Architecture
  • 3. Velocity of Data Challenges
  • 4. Stream Data Processing

  • 7. AWS EC2 Deep Dive
  • 1. EC2 Basic Infrastructure
  • 2. Viewing your service limits
  • 3. Instance lifecycle
  • 4. Instance Types
  • 5. Launching your first instance
  • 6. Working with launch templates
  • 7. Launching an instance from an existing instance
  • 8. Instance states
  • 9. Connecting to a Windows Instance
  • 10. Connecting to a Linux Instance
  • 11. Configuring your instance
  • 12. Creating and sharing AMIs
  • 13. Copying AMIs
  • 14. Working with AMIs
  • 15. Monitoring an EC2 Instance
  • 16. EC2 Monitoring Lab
  • 17. Using CloudTrail to Audit Users

  • 8. Data Structure and Types
  • 1. Data Variety Problem Source Data Storage
  • 2. Structured Data Stores
  • 3. Introduction to semi-structured and unstructured data stores
  • 4. AWS RDS

  • 9. Veracity Cleansing and Data Transformation
  • 1. Data Veracity
  • 2. Common Data Issues
  • 3. Database Consistency
  • 4. AWS ElasticCache
  • 5. AWS AppStream
  • 6. AWS GuardDuty

  • 10. Reporting and Business Intelligence
  • 1. Value in Data Analysis Solution
  • 2. Types of Analytics
  • 3. Visualizing Data.html
  • 4. Creating Your First Visual With AWS QuickSight
  • 5. AWS UI Hub
  • 6. Uploading Data Set to S3
  • 7. Creating Database and Tables
  • 8. Making Connection AWS Athena to AWS QuickSight
  • 9. AWS Sample Dataset
  • 10. Upgrading AWS QuickSight to Enterprise and VPC
  • 11. Importing CSV Data
  • 12. AWS RDS Connection to AWS QuickSight

  • 11. Domain 4 Data Security and Governance (18% of scored content)
  • 1. Principle of Least Privilege as it applies to AWS Security.html
  • 2. AWS Virtual Private Cloud (VPC) Introduction
  • 3. Understanding Amazon VPC and Subnets
  • 4. How to Create AWS VPC Hands-on Lab
  • 5. VPC Security Networking Components
  • 6. VPC Security
  • 7. Difference Between Managed Services and Unmanaged Services.html
  • 8. What is AWS IAM
  • 9. IAM Roles and Policies
  • 10. IAM Users and Groups
  • 11. IAM Federated Users and Best Practices
  • 12. IAM Design Principles
  • 13. CloudWatch
  • 14. CloudTrail

  • 12. Conclusion
  • 1.1 45.Key-Takeaways.pdf
  • 1. Key Takeaways

  • 13. Practice Exam Questions
  • 1. AWS Certified Data Engineer - Associate Exam.html

  • 14. Practice Exam #2
  • 1. Practice Test #2 AWS Certified Data Engineer - Associate Exam.html

  • 15. Resources
  • 1.1 AWS-Certified-Data-Engineer-Associate Exam-Guide.pdf
  • 1. AWS Certified Data Engineer Exam Guide.html
  • 2.1 Resources.zip
  • 2.2 WDI csv.zip
  • 2. Download Resources.html

  • 16. Additional Key Topics and Readings
  • 1. Amazon EventBridge.html
  • 2. Amazon Macie
  • 3.1 glue-dg.pdf
  • 3. How to Determine DPU Capacity.html
  • 4. Amazon SQS
  • 5.1 emr-release.pdf
  • 5. Apache Hive on AWS.html
  • 6.1 lake-formation-dg.pdf
  • 6. Data filters in Lake Formation.html
  • 7.1 redshift-dg.pdf
  • 7. What is a Data Share Amazon RedShift Data Share.html
  • 8.1 secretsmanager-userguide.pdf
  • 8. How to Rotate AWS Secrets Manager secrets.html
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    تولید کننده:
    شناسه: 33359
    حجم: 9472 مگابایت
    مدت زمان: 1057 دقیقه
    تاریخ انتشار: ۷ فروردین ۱۴۰۳
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