Wat je moet weten voordat je
begint

Start 5 June 2026 08:06

Einde 5 June 2026

00 Dagen
00 Uren
00 Minuten
00 Seconden
course image

Simplify Your Analytics and AI with Amazon SageMaker Lakehouse

Discover how Amazon SageMaker Lakehouse unifies data across S3 lakes and Redshift warehouses, enabling seamless querying with Apache Iceberg tools while maintaining robust security controls.
AWS Events via YouTube

AWS Events

6076 Cursussen


20 minutes

Optionele upgrade beschikbaar

Not Specified

Ga in je eigen tempo vooruit

Free Video

Optionele upgrade beschikbaar

Overzicht

Discover how Amazon SageMaker Lakehouse unifies data across S3 lakes and Redshift warehouses, enabling seamless querying with Apache Iceberg tools while maintaining robust security controls.

Lesprogramma

  • Introduction to Amazon SageMaker Lakehouse
  • Overview of data unification on AWS
    Key features and benefits
  • Understanding Data Lakes and Data Warehouses
  • Differences between S3 data lakes and Redshift data warehouses
    Use cases for combining data lakes and warehouses
  • Apache Iceberg for Seamless Querying
  • Introduction to Apache Iceberg
    Setting up and optimizing Apache Iceberg for data querying
  • Integrating Amazon SageMaker Lakehouse
  • Steps to unify data across S3 and Redshift
    Best practices for data management and architecture
  • Data Security and Compliance
  • Overview of security controls in Amazon SageMaker Lakehouse
    Managing access and permissions
  • Use Cases and Applications
  • Real-world use cases of Amazon SageMaker Lakehouse
    Advanced analytics and AI integration
  • Hands-On Workshop
  • Practical exercises on data unification
    Implementing a sample analytics workflow
  • Performance Optimization
  • Techniques for optimizing query performance
    Troubleshooting common performance issues
  • Conclusion and Next Steps
  • Summary and course review
    Additional resources and further learning paths

Vakgebieden

Programming