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Items Tagged: In+Memory

news / Blog

IoT Goes Real-Time, Gets Predictive - Glassbeam Launches Spark-based Machine Learning

In-Memory processing was all the rage at Strata 2014 NY last month, and the hottest word was Spark! Spark is big data scale-out cluster solution that provides a way to speedily analyze large data sets in-memory using a "resilient distributed data" design for fault-tolerance. It can deploy into its own optimized cluster, or ride on top of Hadoop 2.0 using YARN... I haven't done justice to Spark itself and perhaps its biggest onrushing use case - taming the real-time data from from the Internet of Things (IoT)...

  • Premiered: 11/21/14
  • Author: Mike Matchett
Topic(s): Glassbeam Big Data Spark In Memory GridGain Machine Learning
news / Blog

In Memory Big Data Heats Up With Apache Ignite

Recently we posted about GridGain contributing their core in-memory solution to the Apache Ignite project. While this is still incubating, it's clear that this was a good move for GridGrain, and a win for the big data/BI community in general. Today Apache Ignite drops its v1.0 release candidate with some new features added in like built-in support for jCache and an autoloader to help migrate data and schema in from existing SQL databases (e.g. Oracle, MySQL, Postgres, DB2, Microsoft SQL, etc.).

  • Premiered: 02/19/15
  • Author: Mike Matchett
Topic(s): GridGain In Memory Big Data SQL