Accelerating the Hadoop data stack with Apache Ignite, Spark and Bigtop
IMCSummit 2016 Keynote - Benzi Galili - More Memory for In-Memory Easy
IMC Summit 2016 Innovation - Girish Mutreja - Unveiling the X Platform
IMC Summit 2016 Breakout - Amit Golander - The Benefits of Memory and Storage Convergence to In-Memory Computing
IMC Summit 2016 Breakout - Ken Gibson - The In-Place Working Storage Tier
IMC Summit 2016 Innovation - Chris Villinger - Capture Perishable Insights Before the Moment is Lost
IMC Summit 2016 Breakout - Brian Bulkowski - NVMe, Storage Class Memory and Operational Databases: Real-World Results
IMC Summit 2016 Innovation - Dennis Duckworth - Lambda-B-Gone: The In-memory Case Study for Faster, Smarter and Simpler Answers
IMC Summit 2016 Innovation - Benzi Galili - Comparing Software Defined Memory Options
IMC Summit 2016 Breakout - Andy Pavlo - What Non-Volatile Memory Means for the Future of Database Management Systems
IMC Summit 2016 Breakout - Yanping Wang - Non-volatile Generic Object Programming Model for In-Memory Computing (Spark) Performance Improvement
IMC Summit 2016 Breakout - Matt Coventon - Test Driving Streaming and CEP on Apache Ignite
IMC Summit 2016 Breakout - Noah Arliss - The Truth: How to Test Your Distributed System for the Real World
IMC Summit 2016 Breakout - Henning Andersen - Using Lock-free and Wait-free In-memory Algorithms to Turbo-charge High Volume Data Management
IMC Summit 2016 Breakout - Per Minoborg - Work with Multiple Hot Terabytes in JVMs
IMC Summit 2016 Breakout - Girish Kathalagiri - Decision Making with MLLIB, Spark and Spark Streaming
IMC Summit 2016 Breakout - Nikita Ivanov - Shared In-Memory RDDs – Missing Link in Spark
IMC Summit 2016 Breakout - Roman Shtykh - Apache Ignite as a Data Processing Hub
IMC Summit 2016 Breakout - Dmitriy Setrakyan - Case Study – GridGain for Sberbank Architecture in Financial Services
IMC Summit 2016 Breakout - William Bain - Implementing Extensible Data Structures in In-Memory Data Grids