AI-powered data integration and governance with Amazon Q Developer (ANT352-NEW)

Key Takeaways

Challenges Builders are Facing

  • Difficulty in quickly finding relevant technical resources from a vast collection
  • New team members struggle to get up to speed on existing data assets and schemas
  • Protecting sensitive data and ensuring compliance with regulations is an ongoing challenge
  • The traditional development process is slow, error-prone, and hampers productivity

What is Amazon Transcribe?

  • Amazon Transcribe is a AI-powered assistant that simplifies complex data tasks
  • It reduces development time and accelerates project delivery by:
    • Integrating seamlessly with AWS services and tools
    • Assisting developers in creating secure, scalable, and highly available applications
    • Enabling faster code authoring, debugging, testing, optimization, and upgrading

Amazon SageMaker Unified Studio

  • A unified data and AI platform to accelerate analytics and AI initiatives
  • Provides a single experience across all data and tools for:
    • Data processing, SQL querying, model training, and generative AI app development
    • All assisted by Amazon Transcribe at every step
  • Enables governed data discovery, collaboration, and end-to-end workflows

Amazon Transcribe Capabilities in SageMaker Unified Studio

  • Q&A: Provides guidance on setting up projects, understanding data assets, and more
  • Code Authoring: Writes code snippets, identifies and addresses configuration errors
  • SQL Querying: Simplifies query writing and provides SQL suggestions based on natural language

Generative AI for Apache Spark in SageMaker Data Processing

  • Simplifies the build process for Apache Spark applications using natural language prompts
  • Provides instant root cause analysis for Spark job failures with actionable recommendations
  • Automates the process of upgrading Spark applications to newer versions

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