8:00 a.m.
Level Up: Welcome to Tech Summit FY23
8:30 a.m.
Keynote | Lakehouse
9:30 a.m.
Break
9:45 a.m.
  • To Unity and Beyond: Upgrading Customers and Starting Adoption with Unity Catalog
  • Super Dashboard Skills
  • Delta Share: Sharing large-scale datasets with ease.share existing large-scale datasets
  • A successful Data & AI journey - Business and Architecture Perspective
  • Architecting an end to end analytics solution for the Modern Data Stack using Fivetran + dbt Labs + Databricks
11:00 a.m.
Break | Activities
11:30 a.m.
Keynote | To Unity and Beyond: A Deep Dive in to Unity Catalog, Cleanroom and Marketplace
12:30 p.m.
Break
12:45 p.m.
Keynote | Why Warehouse when you can Lakehouse and get more for less?
1:45 p.m.

- Creating a Center for Enablement for your Customer
- Structured Streaming: Demystifying Arbitrary Stateful Operations
- Deploy a Databricks workspace on AWS in under 15 mins
- Batch, Streaming and on-demand computation of feature using Feature Store, a unified demo

8:00 a.m.
Keynote | Data Engineering + Streaming
9:15 a.m.
Awards
9:30 a.m.
Break
9:45 a.m.
  • To Unity and Beyond: Upgrading Customers and Starting Adoption with Unity Catalog
  • Super Dashboard Skills
  • End-to-End ETL: Using DLT & Workflows
  • End-to-End MLOps on Databricks
  • Hands On/Deep Dives |  Delta Lake
  • Troubleshooting Streaming Applications
11:00 a.m.
Break | Activities
11:30 a.m.
Keynote | Simplifying Taking ML to Production
12:30 p.m.
Break
12:45 p.m.

12:45 PM - 1:15 PM    
- Discovery Canvas! How to map your customer
- Geospatial (1 of 2): Geospatial on Databricks
- Winning and executing Redshift migration to the Lakehouse
- Novelis: Win Customer’s Architecture
- Reduce cost of cloud resources on Databricks

1:15 PM - 1:30 PM    
- Recounting Hadoop Migration at Travelers
- Leveraging the power of User communities (AXA, Michelin)
- Security Analysis Tool (SAT) for Lakehouse
- Convert to Delta: How a Table Ruined My Life

1:30 PM - 2:00 PM    
- Competitive Customer Insights: Why We Win/Why We Lose
- Geospatial (2 of 2): Deeper Dive into Geospatial Lakehouse Implementation Perspectives
- Best practices for automating your Terraform journey using CI/CD
- DLT-META: Metadata driven Delta Live tables framework
- Databricks Migrations: Power of Automation 

2:00 PM - 2:15 PM    
- Data Exchange and Data Mesh at Mercedes-Benz
- Monte Carlo Calculations in Databricks: The UBS experience
- Glue 3.0: More Than Just a Metastore
- Plerion - Realising a SaaS start-up with the Lakehouse

8:00 a.m.
Keynote | Security + Platform
9:15 a.m.
Awards
9:30 a.m.
Break
9:45 a.m.
  • End-to-End ETL: Using DLT & Workflows
  • End-to-End MLOps on Databricks
  • Automating Secure Deployments with Terraform
  • Building interactive dashboards using PowerBi and Tableau
  • Approved and Properly Deployed: Platform Security in 2022
  • EDA and SW Engineering Best Practices with Databricks Notebooks
10:30 a.m.
Break | Activity
10:45 a.m.
Raffle
11:30 a.m.
Keynote | The Databricks Developer Experience
12:00 p.m.
Keynote | Anatomy of a migration: People, Process, Tools and a real customer case study
12:30 p.m.
Break
12:45 p.m.

12:45 PM - 1:15 PM - PT
- Following Software Development Best Practices on Databricks Lakehouse Platform with dbx
- Entity Resolution and Master Data Management with Databricks
- How Databricks runs Databricks on Databricks
- Akamai: Tuning for Massive Scale Analytics with Finite Resources
- Standardizing ML at Novartis: Bringing New ML Projects to Production

1:15 PM - 1:30 PM - PT    
- Distributed ML Bake-off vs Ray in Unilever: From 2000x slower to 1x
- SuperApp on Databricks - scaling to 11 million users
- Finding a needle in a haystack at HydroQuebec

1:30 PM - 2:00 PM - PT 
- Deep dive into the streaming checkpoint and best practices
- How R you scheduling R Jobs?
- Taming the Hadoop Zoo Animals
- Modern data stack on the Lakehouse
- Dimensional Modelling best practice & Implementation on Modern Lakehouse

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