BigQuery and BigLake: Real-World Data Products for AI/ML at Scale

Discover how BigQuery and BigLake enable innovative data analytics solutions and implement AI/ML-powered data products for real-world applications in this 37-minute conference talk from Google Cloud Tech. Delve into the latest advancements in both technologies, focusing on BigLake's integration with Apache Iceberg for efficient AI/ML and BigQuery's role as a foundational element in successful data mesh architectures. Gain insights from industry leaders Trendyol and Snap as they share their transformative experiences using these technologies for large-scale analytics and AI initiatives. Explore topics such as data variety and velocity, governance, object tables, BigQuery Omni, data as a product, crossfunctional data teams, serverless and scalable capabilities, and analytical pipeline architecture. Learn about key building blocks, the TROL framework, and future developments in BigQuery and BigLake.

Agenda
Data Variety and Velocity
BigQuery
Governance
Object Tables
BigQuery Omni
Data is a product
Data bottlenecks
Crossfunctional data teams
Three fundamental tenants
Key building blocks
Serverless and scalable capabilities
Introducing TROL
Tribe Squat Hierarchy
Reminders
What is next
BigLake Architecture
Analytical Pipeline Architecture
ML Pipelines
Evaluation Framework
Whats next