Schedule for Silicon Valley
Dev
Ops
Data
| 08: 00 | 08: 10 | 08: 20 | 08: 30 | 08: 40 | 08: 50 | 09: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Registration
|
Massively Parallel PostgreSQL For Analytics
|
|||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
| |||||||
| 09: 00 | 09: 10 | 09: 20 | 09: 30 | 09: 40 | 09: 50 | 10: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Massively Parallel PostgreSQL For Analytics
|
Update on Microsoft’s learning and progress on supporting PostgreSQL as a fully managed service on Azure
|
What's new in Postgres 11
|
||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
| |||||||
| 10: 00 | 10: 10 | 10: 20 | 10: 30 | 10: 40 | 10: 50 | 11: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Helping to Solve World Hunger through AgensGraph
|
||||||
|
Market
|
I Didn't Know Postgres Could Do That!
|
||||||
|
Winchester 1
|
Best Practices for Running Postgres in Kubernetes
|
||||||
|
Winchester 2
|
Data Integrity at Scale - lessons learned building Google Cloud SQL
|
||||||
| 11: 00 | 11: 10 | 11: 20 | 11: 30 | 11: 40 | 11: 50 | 12: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Monday Lunch
|
||||||
|
Market
|
How to run Stateful application on EC2 Spot Instances
|
Condenser - A Simple PostgreSQL Subsetting Tool
|
|||||
|
Winchester 1
|
Improve Database Warehouse Performance 100x with a Database Proxy
|
||||||
|
Winchester 2
|
Postgres as a foundation for an operations data-science platform
|
Turning Data Teams Into Super Heroes
|
|||||
| 12: 00 | 12: 10 | 12: 20 | 12: 30 | 12: 40 | 12: 50 | 13: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Monday Lunch
|
||||||
|
Market
|
Understanding High availability options for PostgreSQL
|
||||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
||||||
|
Winchester 2
|
Using an in-memory storage platform to bridge big-data systems
|
||||||
| 13: 00 | 13: 10 | 13: 20 | 13: 30 | 13: 40 | 13: 50 | 14: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Understanding High availability options for PostgreSQL
|
||||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
||||||
|
Winchester 2
|
Using an in-memory storage platform to bridge big-data systems
|
Dealing with Gigantic Tables
|
|||||
| 14: 00 | 14: 10 | 14: 20 | 14: 30 | 14: 40 | 14: 50 | 15: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Architecting distributed data for GDPR
|
||||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
||||||
|
Winchester 2
|
Dealing with Gigantic Tables
|
Data pipelines with PostgreSQL and Kafka
|
|||||
| 15: 00 | 15: 10 | 15: 20 | 15: 30 | 15: 40 | 15: 50 | 16: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Architecting distributed data for GDPR
|
Building a DBaaS platform for Postgres
|
|||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
||||||
|
Winchester 2
|
Data pipelines with PostgreSQL and Kafka
|
Operating Machine Learning & Massively Parallel Postgres on Kubernetes
|
|||||
| 16: 00 | 16: 10 | 16: 20 | 16: 30 | 16: 40 | 16: 50 | 17: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Building a DBaaS platform for Postgres
|
Data Recovery in PostgreSQL on a damaged filesystem
|
|||||
|
Winchester 1
|
How To Index Your Database
|
||||||
|
Winchester 2
|
Operating Machine Learning & Massively Parallel Postgres on Kubernetes
|
Taking care of the elephant
|
|||||
| 17: 00 | 17: 10 | 17: 20 | 17: 30 | 17: 40 | 17: 50 | 18: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Data Recovery in PostgreSQL on a damaged filesystem
|
||||||
|
Winchester 1
|
How To Index Your Database
|
||||||
|
Winchester 2
|
Taking care of the elephant
|
||||||
| 18: 00 | 18: 10 | 18: 20 | 18: 30 | 18: 40 | 18: 50 | 19: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 19: 00 | 19: 10 | 19: 20 | 19: 30 | 19: 40 | 19: 50 | 20: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 08: 00 | 08: 10 | 08: 20 | 08: 30 | 08: 40 | 08: 50 | 09: 00 | 09: 10 | 09: 20 | 09: 30 | 09: 40 | 09: 50 | 10: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Registration
|
Massively Parallel PostgreSQL For Analytics
|
Update on Microsoft’s learning and progress on supporting PostgreSQL as a fully managed service on Azure
|
What's new in Postgres 11
|
|||||||||
|
Market
| |||||||||||||
|
Winchester 1
| |||||||||||||
|
Winchester 2
| |||||||||||||
| 10: 00 | 10: 10 | 10: 20 | 10: 30 | 10: 40 | 10: 50 | 11: 00 | 11: 10 | 11: 20 | 11: 30 | 11: 40 | 11: 50 | 12: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Helping to Solve World Hunger through AgensGraph
|
Monday Lunch
|
|||||||||||
|
Market
|
I Didn't Know Postgres Could Do That!
|
How to run Stateful application on EC2 Spot Instances
|
Condenser - A Simple PostgreSQL Subsetting Tool
|
||||||||||
|
Winchester 1
|
Best Practices for Running Postgres in Kubernetes
|
Improve Database Warehouse Performance 100x with a Database Proxy
|
|||||||||||
|
Winchester 2
|
Data Integrity at Scale - lessons learned building Google Cloud SQL
|
Postgres as a foundation for an operations data-science platform
|
Turning Data Teams Into Super Heroes
|
||||||||||
| 12: 00 | 12: 10 | 12: 20 | 12: 30 | 12: 40 | 12: 50 | 13: 00 | 13: 10 | 13: 20 | 13: 30 | 13: 40 | 13: 50 | 14: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Monday Lunch
|
||||||||||||
|
Market
|
Understanding High availability options for PostgreSQL
|
||||||||||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
||||||||||||
|
Winchester 2
|
Using an in-memory storage platform to bridge big-data systems
|
Dealing with Gigantic Tables
|
|||||||||||
| 14: 00 | 14: 10 | 14: 20 | 14: 30 | 14: 40 | 14: 50 | 15: 00 | 15: 10 | 15: 20 | 15: 30 | 15: 40 | 15: 50 | 16: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||
|
Market
|
Architecting distributed data for GDPR
|
Building a DBaaS platform for Postgres
|
|||||||||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
||||||||||||
|
Winchester 2
|
Dealing with Gigantic Tables
|
Data pipelines with PostgreSQL and Kafka
|
Operating Machine Learning & Massively Parallel Postgres on Kubernetes
|
||||||||||
| 16: 00 | 16: 10 | 16: 20 | 16: 30 | 16: 40 | 16: 50 | 17: 00 | 17: 10 | 17: 20 | 17: 30 | 17: 40 | 17: 50 | 18: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||
|
Market
|
Building a DBaaS platform for Postgres
|
Data Recovery in PostgreSQL on a damaged filesystem
|
|||||||||||
|
Winchester 1
|
How To Index Your Database
|
||||||||||||
|
Winchester 2
|
Operating Machine Learning & Massively Parallel Postgres on Kubernetes
|
Taking care of the elephant
|
|||||||||||
| 18: 00 | 18: 10 | 18: 20 | 18: 30 | 18: 40 | 18: 50 | 19: 00 | 19: 10 | 19: 20 | 19: 30 | 19: 40 | 19: 50 | 20: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||
|
Market
| |||||||||||||
|
Winchester 1
| |||||||||||||
|
Winchester 2
|
| 08: 00 | 08: 10 | 08: 20 | 08: 30 | 08: 40 | 08: 50 | 09: 00 | 09: 10 | 09: 20 | 09: 30 | 09: 40 | 09: 50 | 10: 00 | 10: 10 | 10: 20 | 10: 30 | 10: 40 | 10: 50 | 11: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Registration
|
Massively Parallel PostgreSQL For Analytics
|
Update on Microsoft’s learning and progress on supporting PostgreSQL as a fully managed service on Azure
|
What's new in Postgres 11
|
Helping to Solve World Hunger through AgensGraph
|
||||||||||||||
|
Market
|
I Didn't Know Postgres Could Do That!
|
||||||||||||||||||
|
Winchester 1
|
Best Practices for Running Postgres in Kubernetes
|
||||||||||||||||||
|
Winchester 2
|
Data Integrity at Scale - lessons learned building Google Cloud SQL
|
||||||||||||||||||
| 11: 00 | 11: 10 | 11: 20 | 11: 30 | 11: 40 | 11: 50 | 12: 00 | 12: 10 | 12: 20 | 12: 30 | 12: 40 | 12: 50 | 13: 00 | 13: 10 | 13: 20 | 13: 30 | 13: 40 | 13: 50 | 14: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Monday Lunch
|
||||||||||||||||||
|
Market
|
How to run Stateful application on EC2 Spot Instances
|
Condenser - A Simple PostgreSQL Subsetting Tool
|
Understanding High availability options for PostgreSQL
|
||||||||||||||||
|
Winchester 1
|
Improve Database Warehouse Performance 100x with a Database Proxy
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
|||||||||||||||||
|
Winchester 2
|
Postgres as a foundation for an operations data-science platform
|
Turning Data Teams Into Super Heroes
|
Using an in-memory storage platform to bridge big-data systems
|
Dealing with Gigantic Tables
|
|||||||||||||||
| 14: 00 | 14: 10 | 14: 20 | 14: 30 | 14: 40 | 14: 50 | 15: 00 | 15: 10 | 15: 20 | 15: 30 | 15: 40 | 15: 50 | 16: 00 | 16: 10 | 16: 20 | 16: 30 | 16: 40 | 16: 50 | 17: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||||||||
|
Market
|
Architecting distributed data for GDPR
|
Building a DBaaS platform for Postgres
|
Data Recovery in PostgreSQL on a damaged filesystem
|
||||||||||||||||
|
Winchester 1
|
Using TimescaleDB for time-series storage and analytics in Postgres
|
How To Index Your Database
|
|||||||||||||||||
|
Winchester 2
|
Dealing with Gigantic Tables
|
Data pipelines with PostgreSQL and Kafka
|
Operating Machine Learning & Massively Parallel Postgres on Kubernetes
|
Taking care of the elephant
|
|||||||||||||||
| 17: 00 | 17: 10 | 17: 20 | 17: 30 | 17: 40 | 17: 50 | 18: 00 | 18: 10 | 18: 20 | 18: 30 | 18: 40 | 18: 50 | 19: 00 | 19: 10 | 19: 20 | 19: 30 | 19: 40 | 19: 50 | 20: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||||||||
|
Market
|
Data Recovery in PostgreSQL on a damaged filesystem
|
||||||||||||||||||
|
Winchester 1
|
How To Index Your Database
|
||||||||||||||||||
|
Winchester 2
|
Taking care of the elephant
|
||||||||||||||||||
| 08: 00 | 08: 10 | 08: 20 | 08: 30 | 08: 40 | 08: 50 | 09: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Performant time-series data management and analytics with Postgres
|
||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||
|
Winchester 2
|
Tips and Tricks with Amazon RDS for PostgreSQL
|
| 09: 00 | 09: 10 | 09: 20 | 09: 30 | 09: 40 | 09: 50 | 10: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Performant time-series data management and analytics with Postgres
|
Designing a data-access control architecture for GDPR
|
|||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||
|
Winchester 2
|
Tips and Tricks with Amazon RDS for PostgreSQL
|
HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
|
|||||
| 10: 00 | 10: 10 | 10: 20 | 10: 30 | 10: 40 | 10: 50 | 11: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Morning Break
|
||||||
|
Market
|
Designing a data-access control architecture for GDPR
|
||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||
|
Winchester 2
|
HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
|
||||||
| 11: 00 | 11: 10 | 11: 20 | 11: 30 | 11: 40 | 11: 50 | 12: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Morning Break
|
Tuesday Lunch
|
|||||
|
Market
|
Viewing data at the intersection between roles
|
||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||
|
Winchester 2
|
Top 10 Mistakes When Migrating From Oracle to PostgreSQL
|
||||||
| 12: 00 | 12: 10 | 12: 20 | 12: 30 | 12: 40 | 12: 50 | 13: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Lunch
|
||||||
|
Market
|
Building A Serverless Database Using Postgres
|
||||||
|
Winchester 1
|
Using PostgreSQL in Gobalto
|
||||||
|
Winchester 2
|
End-to-End Encryption in Modern Database Architectures
|
||||||
| 13: 00 | 13: 10 | 13: 20 | 13: 30 | 13: 40 | 13: 50 | 14: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
|
Building A Serverless Database Using Postgres
|
Managing PostgreSQL-as-a-Service at Large Scale in SAP Multi-Cloud platform
|
|||||
|
Winchester 1
|
Using PostgreSQL in Gobalto
|
Hardware acceleration of Postgres using FPGAs
|
The Art of Database Experiments
|
||||
|
Winchester 2
|
End-to-End Encryption in Modern Database Architectures
|
Modernizing the PostgreSQL developer experience with GraphQL
|
|||||
| 14: 00 | 14: 10 | 14: 20 | 14: 30 | 14: 40 | 14: 50 | 15: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Conference Closing
|
||||||
|
Market
|
Managing PostgreSQL-as-a-Service at Large Scale in SAP Multi-Cloud platform
|
||||||
|
Winchester 1
|
The Art of Database Experiments
|
||||||
|
Winchester 2
|
Modernizing the PostgreSQL developer experience with GraphQL
|
||||||
| 15: 00 | 15: 10 | 15: 20 | 15: 30 | 15: 40 | 15: 50 | 16: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
|
Conference Closing
|
||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 16: 00 | 16: 10 | 16: 20 | 16: 30 | 16: 40 | 16: 50 | 17: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 17: 00 | 17: 10 | 17: 20 | 17: 30 | 17: 40 | 17: 50 | 18: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 18: 00 | 18: 10 | 18: 20 | 18: 30 | 18: 40 | 18: 50 | 19: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 19: 00 | 19: 10 | 19: 20 | 19: 30 | 19: 40 | 19: 50 | 20: 00 | |
|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||
|
Market
| |||||||
|
Winchester 1
| |||||||
|
Winchester 2
|
| 08: 00 | 08: 10 | 08: 20 | 08: 30 | 08: 40 | 08: 50 | 09: 00 | 09: 10 | 09: 20 | 09: 30 | 09: 40 | 09: 50 | 10: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||
|
Market
|
Performant time-series data management and analytics with Postgres
|
Designing a data-access control architecture for GDPR
|
|||||||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||||||||
|
Winchester 2
|
Tips and Tricks with Amazon RDS for PostgreSQL
|
HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
|
|||||||||||
| 10: 00 | 10: 10 | 10: 20 | 10: 30 | 10: 40 | 10: 50 | 11: 00 | 11: 10 | 11: 20 | 11: 30 | 11: 40 | 11: 50 | 12: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Morning Break
|
Tuesday Lunch
|
|||||||||||
|
Market
|
Designing a data-access control architecture for GDPR
|
Viewing data at the intersection between roles
|
|||||||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||||||||
|
Winchester 2
|
HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
|
Top 10 Mistakes When Migrating From Oracle to PostgreSQL
|
|||||||||||
| 12: 00 | 12: 10 | 12: 20 | 12: 30 | 12: 40 | 12: 50 | 13: 00 | 13: 10 | 13: 20 | 13: 30 | 13: 40 | 13: 50 | 14: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Lunch
|
||||||||||||
|
Market
|
Building A Serverless Database Using Postgres
|
Managing PostgreSQL-as-a-Service at Large Scale in SAP Multi-Cloud platform
|
|||||||||||
|
Winchester 1
|
Using PostgreSQL in Gobalto
|
Hardware acceleration of Postgres using FPGAs
|
The Art of Database Experiments
|
||||||||||
|
Winchester 2
|
End-to-End Encryption in Modern Database Architectures
|
Modernizing the PostgreSQL developer experience with GraphQL
|
|||||||||||
| 14: 00 | 14: 10 | 14: 20 | 14: 30 | 14: 40 | 14: 50 | 15: 00 | 15: 10 | 15: 20 | 15: 30 | 15: 40 | 15: 50 | 16: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Conference Closing
|
||||||||||||
|
Market
|
Managing PostgreSQL-as-a-Service at Large Scale in SAP Multi-Cloud platform
|
||||||||||||
|
Winchester 1
|
The Art of Database Experiments
|
||||||||||||
|
Winchester 2
|
Modernizing the PostgreSQL developer experience with GraphQL
|
||||||||||||
| 16: 00 | 16: 10 | 16: 20 | 16: 30 | 16: 40 | 16: 50 | 17: 00 | 17: 10 | 17: 20 | 17: 30 | 17: 40 | 17: 50 | 18: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||
|
Market
| |||||||||||||
|
Winchester 1
| |||||||||||||
|
Winchester 2
|
| 18: 00 | 18: 10 | 18: 20 | 18: 30 | 18: 40 | 18: 50 | 19: 00 | 19: 10 | 19: 20 | 19: 30 | 19: 40 | 19: 50 | 20: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
| |||||||||||||
|
Market
| |||||||||||||
|
Winchester 1
| |||||||||||||
|
Winchester 2
|
| 08: 00 | 08: 10 | 08: 20 | 08: 30 | 08: 40 | 08: 50 | 09: 00 | 09: 10 | 09: 20 | 09: 30 | 09: 40 | 09: 50 | 10: 00 | 10: 10 | 10: 20 | 10: 30 | 10: 40 | 10: 50 | 11: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Morning Break
|
||||||||||||||||||
|
Market
|
Performant time-series data management and analytics with Postgres
|
Designing a data-access control architecture for GDPR
|
|||||||||||||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
||||||||||||||||||
|
Winchester 2
|
Tips and Tricks with Amazon RDS for PostgreSQL
|
HOT - UNDERSTANDING THIS IMPORTANT UPDATE OPTIMIZATION
|
|||||||||||||||||
| 11: 00 | 11: 10 | 11: 20 | 11: 30 | 11: 40 | 11: 50 | 12: 00 | 12: 10 | 12: 20 | 12: 30 | 12: 40 | 12: 50 | 13: 00 | 13: 10 | 13: 20 | 13: 30 | 13: 40 | 13: 50 | 14: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Tuesday Morning Break
|
Tuesday Lunch
|
|||||||||||||||||
|
Market
|
Viewing data at the intersection between roles
|
Building A Serverless Database Using Postgres
|
Managing PostgreSQL-as-a-Service at Large Scale in SAP Multi-Cloud platform
|
||||||||||||||||
|
Winchester 1
|
How YugaByte DB implements distributed PostgreSQL
|
Using PostgreSQL in Gobalto
|
Hardware acceleration of Postgres using FPGAs
|
The Art of Database Experiments
|
|||||||||||||||
|
Winchester 2
|
Top 10 Mistakes When Migrating From Oracle to PostgreSQL
|
End-to-End Encryption in Modern Database Architectures
|
Modernizing the PostgreSQL developer experience with GraphQL
|
||||||||||||||||
| 14: 00 | 14: 10 | 14: 20 | 14: 30 | 14: 40 | 14: 50 | 15: 00 | 15: 10 | 15: 20 | 15: 30 | 15: 40 | 15: 50 | 16: 00 | 16: 10 | 16: 20 | 16: 30 | 16: 40 | 16: 50 | 17: 00 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Ballroom
|
Conference Closing
|
||||||||||||||||||
|
Market
|
Managing PostgreSQL-as-a-Service at Large Scale in SAP Multi-Cloud platform
|
||||||||||||||||||
|
Winchester 1
|
The Art of Database Experiments
|
||||||||||||||||||
|
Winchester 2
|
Modernizing the PostgreSQL developer experience with GraphQL
|
||||||||||||||||||
| 17: 00 | 17: 10 | 17: 20 | 17: 30 | 17: 40 | 17: 50 | 18: 00 | 18: 10 | 18: 20 | 18: 30 | 18: 40 | 18: 50 | 19: 00 | 19: 10 | 19: 20 | 19: 30 | 19: 40 | 19: 50 | 20: 00 | |
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Ballroom
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Market
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Winchester 1
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Winchester 2
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