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IMCSummit 2016 Breakout - The Benefits of Memory and Storage Convergence to In-Memory Computing
Adv Solutions in Go–Testing & Distributed Systems: Using the pprof Tool | packtpub.com
IMCSummit 2016 Breakout - Shared In-Memory RDDs - Missing Link in Spark
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Last Updated: October 1, 2026
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In this presentation we look at the roadmap for Apache Ignite 2.0 towards becoming one of the first convergent data platform that ... This presentation is shared between Dmitriy Setrakyan, Founder and Chief Product Officer at GridGain, and Mikhail Khasin, ... Do you need to move enterprise database information into a Data Lake in real time, and keep it current? Or maybe you need to ... Online decision making over time needs interacting with an ever changing environment. And underlying machine learning models ... Today, many companies are faced with a huge quantity of data and a wide variety of tools with which to process it. This potentially ... Apache Ignite is a high-performance, integrated and Join us for Kubernetes Forums Bengaluru and Delhi - learn more at kubecon.io Don't miss KubeCon + CloudNativeCon 2020 ... As the dangers of global climate change multiply, utility companies seek methods to reduce carbon emissions, such as integrating ... In-memory compute gave up on storage and moved the active working set to memory. This brings tremendous performance gains, ... This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and ... In this talk I'll present the SharedRDD - a high-performance in-memory caching layer for Spark jobs. We'll work through 1) design ...
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