In-Memory Computing Agenda Day 2

Ballroom A
Ballroom B
Ballroom C

9:10 to 9:15

Welcome
Terry Erisman
GridGain

9:15 to 9:35

Persistent Memory Advances
Arthur Sainio
SNIA (Storage Networking Industry Association)

9:40 to 10:10

Optimized in-memory IBOR architecture in a cloud environment using Apache Ignite
Rafique Awan
Wellington Management

10:05 to 10:30

In-Memory Database Architectures at Oracle
Tirthankar Lahiri
Oracle

10:30 to 11:00

Break
GridGain

11:00 to 11:50

Expansion of System Memory using Intel Memory Drive Technology
Ravikanth Durgavajhala
Intel Corp
Ballroom A
How we Effectively Scaled the Contact Insights Computation From 0 orgs to 20k orgs With our Spark Data Pipeline
Praveen Innamuri , Zhidong Ke
Salesforce
Ballroom B
TBD
TBD -
GridGain
Room C

11:55 to 12:45

In-Memory Computing Driving Edge Computing and Blockchain Technologies
sesh raj
dsapps
Ballroom A
Exploring the Full Potential of Ignite Using Classless Design
David Follen
ING Belgium
Ballroom B
Auto-Scaling Caches
Irfan Ahmad
CachePhysics
Room C

12:45 to 13:45

Lunch
GridGain

13:45 to 14:35

Redis Streams, Functions and Data Structures
Dave Nielsen
Redis Labs
Ballroom A
Memory-Centric Architecture - A New Approach to Distributed Systems
Dmitriy Setrakyan
GridGain
Ballroom B
How In-Memory Computing can Maximize the Performance of Modern Payments
Rajiv Shah
GigaSpaces
Room C

14:40 to 15:30

Integrating Data-Parallel Analytics into Stream-Processing Using an In-Memory Data Grid
William Bain
ScaleOut Software, Inc.
Ballroom A
Huawei's story of leveraging GridGain as an in memory data grid caching on its public cloud environment
Paul Chen
Huawei Technologies Canada Ltd.
Ballroom B
Increase Application Performance with SQL Auto-Caching; No Code Changes
Roland Lee , Erik Brandsberg
Heimdall Data
Room C

15:30 to 16:00

Break
GridGain

16:00 to 16:50

Ultimate Guide to Successful Cross-Platform Deployments with Apache Ignite
Pavel Petroshenko
Electric Imp
Ballroom A
Want extreme performance at scale? Do distributed the RIGHT way!
Valentin Kulichenko
GridGain Systems
Ballroom B
Ultra-Low Latency with Java and Terabytes of Data
Per Minborg
Speedment AB
Room C

16:50 to 17:10

Closing Words and Raffle
GridGain