| Percona Memory Engine for MongoDB Advantage |
Vadim Tkachenko |
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| Accelerate MySQL® for Demanding OLAP and OLTP Use Cases with Apache® Ignite™ |
Peter Zaitsev, Nikita Ivanov |
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| An Ignite Compute Grid in the Cloud |
Chris Berry |
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| Apache Ignite - A Memory-Centric Approach to Durable Distributed Systems |
Dmitriy Setrakyan |
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| Apache Ignite: The In-Memory Hammer in Your Data Science Toolkit |
Denis Magda |
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| Apache Spark and Apache Ignite: Where Fast Data Meets the IoT |
Denis Magda |
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| Beyond the Cluster: WAN Data Replication With GridGain |
Yakov Zhdanov |
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| Building Consistent and Highly Available Distributed Systems with Apache Ignite and GridGain |
Valentin Kulichenko |
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| Deploy like a Boss: Using Kubernetes and Apache Ignite! |
Dani Traphagen |
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| Design Development: Solutions Using High Level Technologies for a Rural Village in the Philippines. |
C Tito Young |
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| Distributed Java 8 Streams with Hazelcast JET |
Fuad Malikov |
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| Fast is a Must-Have, But Not Enough: Real-World Anti-Fraud Using an In-Memory Data Processing Engine |
Ning Shi |
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| Gen-Z High-Performance Interconnect for the Data-Centric Future |
Kurtis Bowman |
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| Global Resilient Trade Clearing with In-Memory Data Grids |
Alexey Kharlamov |
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| Handling Real-Time Use Cases at Scale Using a Hybrid Memory Architecture |
Srini V. Srinivasan |
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| High Availability and Disaster Recovery for IMDG |
Vladimir Komarov, Mikhail Gorelov |
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| How In-Memory Solutions Can Assist with SaaS Integrations |
Craig Gresbrink |
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| How to Use Java 8 Streams to Access Existing Data with Ultra-low Latency |
Per Minborg |
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| Hybrid Transaction/Analytical Processing -"HTAP"- What is it and Why It Matters |
Colin MacNaughton |
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| Implementation of Investment Book of Record (IBOR ) using Apache Ignite/GridGain |
Rafique Awan |
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| Implementing Durable Memory-Centric Architectures in Large Financial Institutions |
Dmitriy Setrakyan |
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| In-Memory Associative Chip for NLP |
Avidan Akerib |
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| In-Memory Computing: It's New and It's Not... |
Larry Strickland |
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| In-Persistent-Memory Computing with Java |
Eric Kaczmarek |
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| Introducing Hazelcast Jet - A New Fast Batch and Stream Processing Engine |
Greg Luck |
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| Introducing Oracle Velocity Scale, a high performance, scale out, shared nothing SQL In-Memory RDBMS |
Doug Hood |
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| Iota Architecture: Uniform Data-Access and Processing Medium |
Konstantin Boudnik, Alexandre Boudnik |
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| Leveraging In-Memory For The IoT Application Challenge: Build it Better and Faster |
Colin MacNaughton |
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| Millions of Transactions per Second on a Single Machine: A Case for a Virtualized Database and Scale-In |
Roger Johansson |
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| Moving Forward Securely in Digital Factory |
Ferhat Hatay |
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| Preparing for a Unified IMC Architecture by 2020 |
Steve Wilkes |
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| Real-Time Analytics with an In-Memory, GPU-Accelerated Database |
John Lynch |
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| Real-Time Image Recognition Using MemSQL |
Nikita Shamgunov |
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| Realizing the Benefits of Persistent Memory with the NVM Programming Model and NVDIMMs |
Jim Pappas |
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| Scale Out and Conquer: Architectural Decisions Behind Distributed In-Memory Systems |
Yakov Zhdanov |
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| Self-learning Caches |
Irfan Ahmad |
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| The Evolving In-Memory Computing Platform |
Abe Kleinfeld |
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| The Evolving Role of In-Memory Computing in the Banking Industry |
Mikhail Khasin |
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| The Intersection of In-Memory and Scale-Out in the Age of Internet Proportions |
Noah Arliss |
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| Using In-Memory Computing to Create the Digital Twin: A New Model for Stream Processing |
William Bain |
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| We’re from the Government and We’re Here for Help (Streaming Data) |
LCDR Krueger, Thomas Bartee |
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| Why the Future of Graph Databases will be In-Memory |
Dominik Tomicevic |
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