Setting up a dbt project the right way ensures maintainability, scalability, and efficiency. Learn how Bumble uses dbt to reduce tech debt and lay the foundation not only for analytics, but also for machine learning and data products.
Topic
Artificial Intelligence/Machine Learning
9014
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Setting up a dbt project the right way ensures maintainability, scalability, and efficiency. Learn how Bumble uses dbt to reduce tech debt and lay the foundation not only for analytics, but also for machine learning and data products.
The data world has long been divided, with data engineers and data scientists working in silos. This fragmentation creates a long, difficult journey from raw data to machine learning models. We've unified these worlds through the Google Cloud and dbt partnership. In this session, we'll show you an end-to-end workflow that simplifies data to AI journey. The availability of dbt Cloud on Google Cloud Marketplace streamlines getting started, and its integration with BigQuery's new Apache Iceberg tables creates an open foundation. We'll also highlight how BigQuery DataFrames' integration with dbt Python models lets you perform complex data science at scale, all within a single, streamlined process. Join us to learn how to build a unified data and AI platform with dbt on Google Cloud.
How AI can help maintain compliance and resilience in cloud security on AWS.
Discussion on predicting security threats in AWS cloud environments using AI insights.
Strategies for preventing breaches in AWS workloads through smarter automation and AI.
Real-time protective measures for AWS workloads using AI-driven approaches.
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Discover how machine learning models dynamically generate assertions, detect anomalies, and create self-healing test scripts that reduce maintenance and improve reliability.
Discover how machine learning models dynamically generate assertions, detect anomalies, and create self-healing test scripts that reduce maintenance and improve reliability.
Learn how AI-powered tools automatically generate expected results, validate test completeness, and convert requirements into testable assertions to enhance manual testing effectiveness.
Learn how AI-powered tools automatically generate expected results, validate test completeness, and convert requirements into testable assertions to enhance manual testing effectiveness.
Learn programmatic data generation using factory patterns, database seeding, and AI techniques that integrate with CI/CD pipelines while maintaining data integrity.
Learn programmatic data generation using factory patterns, database seeding, and AI techniques that integrate with CI/CD pipelines while maintaining data integrity.
Learn how AI automatically discovers and masks sensitive data using NLP, context-aware techniques, and synthetic generation while maintaining utility for testing.
Learn how AI automatically discovers and masks sensitive data using NLP, context-aware techniques, and synthetic generation while maintaining utility for testing.
Explore how GANs, VAEs, and LLMs create realistic synthetic test data that preserves statistical properties, discovers edge cases, and maintains privacy.
Explore how GANs, VAEs, and LLMs create realistic synthetic test data that preserves statistical properties, discovers edge cases, and maintains privacy.
Discover how Retrieval-Augmented Generation provides instant, contextual answers by combining AI with your documentation to enhance testing decisions.
Discover how Retrieval-Augmented Generation provides instant, contextual answers by combining AI with your documentation to enhance testing decisions.