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Trusted Business Advisors, Expert Technology Analysts

Items Tagged: In-Memory

Resources

Make the Elephant Fly: How to make Hadoop 10x faster in 10 minutes

Big data doesn't have to be slow. Now that you have identified and possibly even built functional Hadoop based big data applications that could deliver big value to your organizations, how can you easily make them work at operational speeds in production? Come listen in as Taneja Group Sr. Analyst Mike Matchett interviews Nikita Ivanov, CTO of GridGain, on why in-memory solutions for Hadoop can make all the difference for big data success. We'll explore what they do and how they work to speed up processing, how easy or hard they are to deploy and get working in the data center, and what the net impact can be. We'll also hope to talk about commercial vs. open source in the big data space, and what that means for the analytical community at large.

  • Premiered: 09/17/14
  • Location: OnDemand
  • Speaker(s): Mike Matchett, Sr. Analyst, Taneja Group; Nikita Ivanov, CTO of GridGain
  • Sponsor(s): GridGain, BrightTALK
Topic(s): TBA Topic(s): GridGain Topic(s): TBA Topic(s): Hadoop Topic(s): TBA Topic(s): BrightTALK Topic(s): TBA Topic(s): Mike Matchett Topic(s): TBA Topic(s): In-Memory Topic(s): TBA Topic(s): Big Data Topic(s): TBA Topic(s): Nikita Ivanov
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Data World Needs a Mature In-Memory Data Fabric

Much of what human beings experience as commonplace today - social networking, online gaming, mobile and wearable computing -- was impossible a decade ago. One thing is certain: we're going to see even more impressive advances in the next few years.

  • Premiered: 11/12/14
  • Author: Taneja Group
  • Published: Sys-Con Media
Topic(s): TBA GridGain TBA RAM TBA In-Memory TBA Big Data TBA Saas TBA mobile computing TBA Apache
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Make this your most modern IT year yet

No one sticks with their New Year's resolution -- where is that gym card anyway? -- but you can pick up seven modern habits and feel good about fit, healthy IT ops.

  • Premiered: 01/13/15
  • Author: Mike Matchett
  • Published: Tech Target: Search Data Center
Topic(s): TBA Big Data TBA hyperconvergence TBA Converged Infrastructure TBA predictive analytics TBA SDS TBA Software Defined Storage TBA software-defined storage TBA In-Memory TBA Caching TBA Infrastructure TBA Cloud TBA DR TBA Disaster Recovery TBA DRaaS TBA Disaster Recovery as a Service TBA IoT TBA Internet of Things TBA Virtual storage
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Apache Ignite v1.0 Release Candidate By GridGain

Today, GridGain announces the first code drop of Apache Ignite, Apache Ignite v1.0 RC (Release Candidate).

  • Premiered: 02/18/15
  • Author: Taneja Group
  • Published: Sys-con
Topic(s): TBA GridGain TBA Apache TBA Apache Ignite TBA In-Memory TBA Storage TBA High Performance
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IT pros get a handle on machine learning and big data

Despite its benefits, machine learning can also go very wrong. Beginners need to understand their input data, project scope and purpose, and the machine learning algorithms at work.

  • Premiered: 07/15/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA IT TBA Mike Matchett TBA Big Data TBA Machine Learning TBA predictive modeling TBA Optimization TBA scale-out TBA Apache TBA Apache Mahout TBA Apache Madlib TBA High Performance TBA High Performance Computing TBA HPC TBA storage architecture TBA Storage TBA In-Memory TBA Microsoft TBA Microsoft Azure TBA AI TBA Artificial Intelligence
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Diablo Technologies launches new DDR4 Memory1 module

Diablo Technologies introduces the all-flash Memory1 DDR4 module, and claims lower-cost, higher-capacity flash can replace expensive DRAM.

  • Premiered: 08/05/15
  • Author: Taneja Group
  • Published: TechTarget: Search Solid State Storage
Topic(s): TBA Diablo TBA Diablo Technologies TBA DRAM TBA flash memory TBA SSD TBA Flash TBA Capacity TBA RAM TBA DIMM TBA Big Data TBA analytics TBA Virtualization TBA Storage TBA In-Memory TBA Block Storage TBA SanDisk TBA Flash Memory Summit
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Plexistor Launches to Revolutionize Compute Paradigm with Software-Defined Memory

Startup Plexistor announced today that it will soon be unveiling a Software-Defined Memory (SDM) platform for next-generation data centers, bringing convergence of memory and storage technologies together, enabling high capacity persistent storage and near-memory speed by providing a direct data path from the application to the memory storage device.

  • Premiered: 12/15/15
  • Author: Taneja Group
  • Published: PR Newswire
Topic(s): TBA Arun Taneja TBA Storage TBA Plexistor TBA Software-Defined Memory TBA software-defined TBA SDM TBA Data Center TBA convergence TBA memory convergence TBA Storage TBA high capacity TBA application performance TBA Performance TBA In-Memory TBA real-time analytics TBA Low latency TBA API TBA SSD TBA Primary Storage TBA converged TBA NoSQL TBA Big Data TBA analytics TBA big data analytics
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Plexistor debuts with software to converge memory and storage

Plexistor claims its 'software-defined memory' platform lets in-memory databases and traditional enterprise workloads run without dedicated compute-storage clusters.

  • Premiered: 01/28/16
  • Author: Taneja Group
  • Published: TechTarget: Search Solid State Storage
Topic(s): TBA Plexistor TBA software-defined TBA Software-Defined Memory TBA SDM TBA In-Memory TBA cluster TBA Compute TBA Storage TBA nonvolatile memory TBA Primary Storage TBA high capacity TBA SATA TBA NVMe TBA Flash TBA scalability TBA scalable TBA Low latency TBA Performance TBA MongoDB TBA Kafka TBA Cassandra TBA NVDIMM TBA Arun Taneja TBA Data Center TBA datacenter management TBA DCM TBA tiering TBA Virtualization
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Kinetica Unveils GPU-accelerated Database for Analyzing Streaming Data with Enhanced Performance

Kinetica today announced the newest release of its distributed, in-memory database accelerated by GPUs that simultaneously ingests, explores, and visualizes streaming data.

  • Premiered: 09/21/16
  • Author: Taneja Group
  • Published: Business Wire
Topic(s): TBA high availability TBA Mike Matchett TBA Kinetica TBA In-Memory TBA Security TBA IoT TBA Internet of Things TBA Data Management TBA OLTP TBA CPU TBA GPU TBA NVIDIA TBA Data Center TBA scalability TBA Apache TBA Hadoop TBA Apache Hadoop TBA Apache Kafka TBA Apache Spark TBA Apache NiFi TBA High Performance TBA cluster TBA Big Data TBA scale-out
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Apache Spark Survey Reveals Increased Growth in Users

In order to better understand Apache Spark’s growing role in big data, Taneja Group conducted a major market research project, surveying approximately 7,000 people.

  • Premiered: 11/08/16
  • Author: Taneja Group
  • Published: Satellite Press Releases
Topic(s): TBA Apache TBA Apache Hadoop TBA Apache Spark TBA Hadoop TBA Storage TBA Big Data TBA Data Management TBA Cloudera TBA In-Memory TBA Mike Matchett
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Four big data and AI trends to keep an eye on

AI is making a comeback - and it's going to affect your data center soon.

  • Premiered: 11/17/16
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA AI TBA Artificial Intelligence TBA Big Data TBA Data Center TBA Datacenter TBA Machine Learning TBA Apache TBA Apache Spark TBA Spark TBA Hadoop TBA MapReduce TBA latency TBA In-Memory TBA big data analytics TBA Business Intelligence TBA Python TBA Dataiku TBA Cask TBA ETL TBA data flow management TBA Virtualization TBA Storage TBA scale-up TBA scale-out TBA scalability TBA GPU TBA IBM TBA NVIDIA TBA Virtual Machine TBA VM
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Smarter storage starts with analytics

Storage smartens up to keep pace with data-intensive business applications embedding operational analytics capabilities.

  • Premiered: 04/03/17
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Storage TBA storage analytics TBA analytics TBA Artificial Intelligence TBA AI TBA software-defined TBA Flash TBA SSD TBA In-Memory TBA Hybrid Cloud TBA hybrid cloud tiering TBA cloud tiering TBA Cloud TBA Performance TBA Security TBA Metadata TBA API TBA HPE TBA BMC TBA Saas TBA remote storage TBA NetApp TBA Cassandra TBA HBase TBA Spark TBA Big Data TBA big data analytics TBA InfoSight TBA cluster TBA VM-aware