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Items Tagged: MapR

news / Blog

Enterprise IT Will Dive Into Big Data Solutions in 2013

If you are in IT, 2013 is going to be the year that you will want to dive into the "big data" pool if you haven't been pushed in already. But don't worry - it's no longer sink or swim. For one, we'll be here to help coach IT folks through it all. And while the concepts, terminology and hype have been all over the place, once you start floating around you'll find that under the surface much of what fills the big data pool is familiar IT infrastructure, data management, and services re-cast around a few easy-to-grasp innovations. For example, if you are in IT and asked to pick a Hadoop distro to stand up, you'd probably start with evaluating the three main distributions of Hadoop (other than getting it straight off Apache) followed by other downstream OEM'd and pre-integrated versions. The main distros are from Cloudera, Hortonworks, and MapR. I didn't really appreciate the differences until talking with all three individually (at 2012 NY Strata, see below).

  • Premiered: 01/15/13
  • Author: Mike Matchett
Topic(s): Big Data Hadoop Cloudera MapR Hortonworks Dell EMC strata Apache
news

Myths Surrounding Big Data Technology

Big data technology is a big deal for storage shops, and a clear understanding of what it means -- and doesn't mean -- is required to successfully configure storage for big data apps.

  • Premiered: 08/08/13
  • Author: Mike Matchett
  • Published: Tech Target: Search Storage
Topic(s): TBA Big Data TBA Storage TBA Cloudera TBA Apache TBA Hadoop TBA HDFS TBA MapR TBA NFS TBA CIFS TBA EMC TBA Isilon TBA DDN TBA DataDirect Networks TBA hScaler TBA Hortonworks
news / Blog

HP Vertica Goes Hadoop on MapR's Read Write Infrastructure

Today MapR and HP Vertica are rolling out an exciting joint integration, nicely addressing full SQL-on-Hadoop use cases. Vertica is now runnable, actually "pluggable", on and into MapR's enterprise quality Hadoop distribution. This is an interesting feat that depends highly on MapR's unique implementation of enterprise grade storage in place of the open source HDFS guts.

  • Premiered: 02/10/14
  • Author: Mike Matchett
Topic(s): HP MapR Big Data Vertica analytics
news

New choices bring enterprise big data home

Enterprises recognize the tantalizing value of big data analytics, but traditional concerns about data management and security have held back deployments -- until now.

  • Premiered: 12/02/14
  • Author: Mike Matchett
  • Published: Tech Target: Search Data Center
Topic(s): TBA Mike Matchett TBA TechTarget TBA Big Data TBA Storage TBA analytics TBA Data Management TBA Security TBA Infrastructure TBA HDFS TBA Hadoop TBA Hadoop Distributed File System TBA scale-out TBA Commodity Storage TBA DAS TBA Direct attached storage TBA replication TBA Optimization TBA EMC TBA Isilon TBA NFS TBA Network File System TBA NetApp TBA VMWare TBA Red Hat TBA OpenStack TBA Virtualization TBA BlueData TBA MapR TBA GFPS TBA API
news / Blog

Project Myriad Will Become Your Next Data Center Platform

One of the big things bubbling around at Strata this week is talk about YARN, Mesos, and Project Myriad (initiated/sponsored by MapR). One on hand it seems that this is just about some evolution of the Hadoop scheduling layer, but looking at with a critical eye, I see the impending culmination of what I predicted years ago - that the Hadoop ecosystem will quickly evolve to bring high-powered HPC technologies right into the heart of the next gen enterprise data center.

  • Premiered: 02/19/15
  • Author: Mike Matchett
Topic(s): MapR Big Data YARN Hadoop Mesos Scheduling Project Myriad
news

Hadoop Storage Options: Time to Ditch DAS?

Hadoop is immensely popular today because it makes big data analysis cheap and simple: you get a cluster of commodity servers and use their processors as compute nodes to do the number crunching, while their internal direct attached storage (DAS) operate as very low cost storage nodes.

  • Premiered: 02/19/15
  • Author: Taneja Group
  • Published: Infostor
Topic(s): TBA Hadoop TBA Storage TBA DAS TBA Direct attached storage TBA Compute TBA SATA TBA HDFS TBA Hadoop Distributed File System TBA data TBA MapReduce TBA YARN TBA Hadoop 2 TBA data lake TBA data refinery TBA Enterprise Storage TBA DR TBA Disaster Recovery TBA compliance TBA Security TBA Business Continuity TBA Performance TBA FC TBA Fibre Channel TBA SAN TBA NAS TBA Virtualization TBA Cloud TBA VM TBA Virtual Machine TBA MapR
news

New approaches to scalable storage

With all these scalable storage approaches, IT organizations must evaluate the options against their data storage and analytics needs, as well as future architectures.

  • Premiered: 03/16/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA Mike Matchett TBA TechTarget TBA Storage TBA scalable TBA scalability TBA analytics TBA Data Storage TBA Big Data TBA Block Storage TBA File Storage TBA object storage TBA scale-out TBA scale-up TBA Performance TBA Capacity TBA HA TBA high availability TBA latency TBA IOPS TBA Flash TBA SSD TBA File System TBA Security TBA NetApp TBA Data ONTAP TBA ONTAP TBA EMC TBA Isilon TBA OneFS TBA Cloud
news

Data lakes swim with golden information for analytics

First we had data. Then we had big data. Now we have data lakes. Will the murky depths prove bountiful?

  • Premiered: 04/14/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA data lake TBA analytics TBA Big Data TBA Mike Matchett TBA TechTarget TBA Hadoop TBA Business Intelligence TBA BI TBA OLAP TBA OLTP TBA NoSQL TBA SQL TBA Optimization TBA ETL TBA IoT TBA Internet of Things TBA MapR TBA Project Myriad TBA YARN TBA Virtualization TBA Business Continuity TBA Disaster Recovery TBA DR TBA BC TBA data swamp TBA BlueData TBA Dataguise TBA HDFS TBA Hadoop Distributed File System TBA IBM
news

Hadoop and Big Data Without Storage Headaches

Big Data appliances provide an easy way to implement storage for Hadoop.

  • Premiered: 06/23/15
  • Author: Taneja Group
  • Published: Datamation
Topic(s): TBA Hadoop TBA Big Data TBA Storage TBA Mike Matchett TBA Hadoop Distributed File System TBA HDFS TBA EMC TBA Isilon TBA HDS TBA Hitachi Data Systems TBA analytics TBA MapR TBA SAN TBA Cloudera TBA EMR TBA Amazon TBA HSP TBA hyper-converged
news / Blog

Kudu Might Be Invasive: Cloudera Breaks Out Of HDFS

For the IT crowd just now getting to used to the idea of big data's HDFS (Hadoop's Distributed File System) and it's peculiarities, there is another alternative open source big data file system coming from Cloudera called Kudu. Like HDFS, Kudu is designed to be hosted across a scale-out cluster of commodity systems, but specifically intended to support more low-latency analytics. At it's heart, Kudu sits between the capabilities of HDFS and HBase to meet the growing use of interactive drill-down analytics (e.g. Impala) and the faster time-to-response Spark platform. It's a combination of on disk column store technology (for low latency queries) fronted by an in-memory write layer (for low latency updates/inserts), and fully distributed across the cluster....

  • Premiered: 01/11/16
  • Author: Mike Matchett
Topic(s): Big Data Cloudera Storage Kudu MapR Teradata
news / Blog

Looking For a Next Gen Data Center Platform? MapR Wants To Talk.

It’s almost 2017 - where is your organization with regards to getting any value out of Big Data projects? Are you still dabbling with endless POC’s, or maybe haven’t even gotten a big data project approved yet? I just got back from MapR’s first ever analyst conference. More on MapR in a moment, but first let me tell you about one of the interesting big data market adoption perspectives I heard there. One of their partners claimed that a big roadblock to wider big data adoption was senior IT decision-makers holding out investment or project approval until they could be assured that any resulting application would be able to be put into actual enterprise production, regardless of business value....

  • Premiered: 12/14/16
  • Author: Mike Matchett
Topic(s): Big Data MapR Converged Analytics
news

Impetus Technologies Announces StreamAnalytix 3.0 Feat. Support for Apache Spark-Based Batch Process

Impetus Technologies, a big data thought leader and software solutions company, today announced StreamAnalytix 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline machine learning features, helping enterprises maximize the performance of their analytical models and achieve the most favorable business outcomes.

  • Premiered: 03/15/17
  • Author: Taneja Group
  • Published: Yahoo! Finance
Topic(s): TBA StreamAnalytix TBA Impetus Technologies TBA Mike Matchett TBA Apache Spark TBA Spark TBA Apache TBA Machine Learning TBA big data analytics TBA Big Data TBA Hadoop TBA Apache Hadoop TBA NoSQL TBA Apache Kafka TBA Apache Storm TBA Internet of Things TBA IoT TBA ETL TBA Cloudera TBA Hortonworks TBA MapR TBA Amazon AWS TBA AWS TBA Amazon TBA Amazon S3
news

Accelerate Apache Spark to boost big data platforms

Big data platforms like Apache Spark process massive volumes of data faster than other options. As data volumes grow, enterprises seek ways to speed up Spark.

  • Premiered: 04/21/17
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA Big Data TBA big data analytics TBA Apache TBA Apache Spark TBA Spark TBA graph database TBA SQL TBA Spark Summit TBA In-Memory TBA scale-out TBA Acceleration TBA Databricks TBA real-time streaming TBA MapR TBA Alluxio TBA Splice Machine TBA API TBA GPU TBA NVMe TBA NVMe Flash TBA Flash TBA SSD TBA Apache Flink TBA Oracle TBA DriveScale TBA iguaz.io TBA Low latency