1 December 2022
Virtual | 8:30 AM IST, 11:00 AM SGT, 2:00 PM AEDT
Data + AI World Tour
Lakehouse is fast emerging as the new standard for data architecture but every region has its own unique stories and challenges.
Please join us for this virtual event with speakers, customers and content designed with you in mind.
Our lineup of data and AI experts, leaders and visionaries includes Arsalan Tavakoli, as well as Databricks customers from across Asia-Pacific.
Co-Founder & SVP, Field Engineering
SVP and GM, Asia Pacific & Japan
Head of Beta Labs
The Lane Crawford Joyce Group
Chief Data Science Architect, Wholesale banking
Head of Data and ML Platforms
Director of Strategic Customer & Partner Program
Director, Digital Natives, ASEAN and India
Sr. Director, Product Management
Senior Director of Product Management
Principal Software Engineer
As the worlds of data, analytics and AI become increasingly interconnected, there’s a growing need for a platform to unify data sources, use cases and workloads. The data lakehouse removes the barriers that separate business analysts from data scientists, structured data from real-time streaming and business intelligence from AI. This opening keynote explores how the lakehouse’s simple, open, multicloud approach simplifies data management, unifies data teams and productionizes more initiatives. Using a demo-driven approach, this keynote will clearly delineate how the major data workloads of data engineering, data warehousing, data science and machine learning are orchestrated within the architecture of the Databricks Lakehouse Platform.
Join in the 25 mins fireside chat to discover why and how organizations today are rethinking their data architecture to recession-proof their business and scale AI
Join this fireside chat to discover how Swiggy, a leading food delivering company utilizes data and AI to fuel the growth from a startup to unicorn.
The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning, and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload.
- Data Engineering on the Lakehouse
- Data warehouse on the Lakehouse
- Machine Learning on the Lakehouse