AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools

Master AWS Data Architecture: Become an Enterprise Data Architect

Unlock a high-demand career in data architecture with this comprehensive AWS course. This isn't just another AWS course; it's the only one taught by an experienced Enterprise Cloud Architect with nearly two decades of industry experience, leading large teams and architecting multi-national, multi-million dollar cloud projects. Learn the skills to command a salary between $150K - $250K!

Why Choose This Course?

• Unparalleled Depth: Covering 5-7 times more topics than typical AWS training (40+ AWS Services) at a fraction of the cost ($3000-$5000 classroom training costs significantly more).
• Real-World Expertise: Taught by a published author and seasoned architect who has hands-on experience with complex data architecture challenges.
• Cutting-Edge Content: The curriculum is constantly updated to include the latest AWS services, including recent releases like AWS Transfer for SFTP, AWS Snowball, AWS Data Sync, AWS Glue, AWS Lake Formation, AWS Rekognition, AWS Textract, AWS Comprehend, AWS Transcribe, AWS Polly, AWS SageMaker, AWS Personalize, and AWS IoT.
• Practical, Hands-On Learning: 75% of the course is dedicated to labs, ensuring you gain practical architectural understanding.
• Comprehensive Skillset: Learn to ingest, store, process, analyze, and visualize data using a wide range of AWS services.
• Essential Tools: Gain proficiency in industry-standard tools like EC2, Cloud9, SQL Workbench/J, and more.
• Extensive Q&A: Access a curated library of 500+ FAQs from AWS to confidently answer client and stakeholder questions.

Curriculum Highlights:

This course provides a deep dive into core AWS data architecture services, covering the entire data lifecycle:

• Data Ingestion:
  • AWS Transfer for SFTP: Secure file transfer on AWS.
  • AWS Snowball: Ingesting massive datasets offline.
  • AWS Kinesis Data Firehose: Streaming data to data lakes.
  • AWS Kinesis Data Streams: Real-time data collection and processing.
  • AWS Managed Streaming for Kafka (MSK): Kafka on AWS.
  • AWS Data Sync: Synchronizing on-premise data to the cloud.
• Data Storage & Management:
  • AWS S3 (Advanced): Data lake foundation, lifecycle management, and security.
  • AWS Glacier: Cost-effective archival storage.
  • AWS Relational Database Service (RDS): MariaDB, SQL Server, Oracle, MySQL, PostgreSQL, Aurora.
  • AWS DocumentDB: MongoDB compatible NoSQL database.
  • AWS DynamoDB: Key-value database for high-volume data.
• Data Processing & Analytics:
  • Amazon Redshift & Redshift Spectrum: Data warehousing and querying.
  • Amazon EMR: Big data processing with Hadoop, Spark, Hive, and more.
  • AWS Glue: ETL and data cataloging.
  • Amazon Athena: Serverless query engine for data lakes.
  • Amazon QuickSight: Business intelligence and data visualization.
• Advanced Data Services:
  • AWS Neptune: Graph database for relationship-heavy data.
  • AWS Rekognition: Image and video analysis.
  • AWS Textract: Optical Character Recognition (OCR).
  • AWS Comprehend: Natural Language Processing (NLP).
  • AWS Transcribe: Speech-to-text conversion.
  • AWS Polly: Text-to-speech synthesis.
  • AWS SageMaker: Machine learning platform.
  • AWS Personalize: Recommendation engine.
  • AWS Lake Formation: Simplified data lake creation.
• Data Governance & Security:
  • AWS Backup: Data backup and recovery.
  • AWS API Gateway: Building APIs for data ingestion.
  • AWS Lambda: Serverless compute for data processing.
  • AWS CloudWatch: System logging and monitoring.
  • AWS IoT: Ingesting data from IoT devices.

Who is this course for?

• Aspiring Data Architects
• Cloud Engineers
• Data Engineers
• Developers seeking to expand their skills
• Anyone looking to build