Hadoop

Hadoop

Definition | SearchCloudComputing

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part...

View Related Content

• Apache Hadoop FAQ for BI professionals

  Tutorial | ComputerWeekly

  Want to explore how Apache Hadoop can aid your BI / DW efforts? Get the most common questions about Hadoop answered in this tutorial.

• What to expect when using HDFS in Hadoop architecture

  ATE | searchStorage

  Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.

• Big Data Cloud Service streamlines Oracle Hadoop deployments

  Tip | searchOracle

  As part of its Big Data Cloud Service, Oracle provides a set of internal and external tools designed to help users efficiently deploy and manage ...

Hadoop 2

Definition | SearchDataManagement

Apache Hadoop 2 is the second iteration of the Hadoop framework for distributed data processing.  Hadoop 2 adds support for running non-batch ...

View Related Content

• What to expect when using HDFS in Hadoop architecture

  ATE | searchStorage

  Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.

• How is Hadoop infrastructure improving?

  Ask the expert | searchStorage

  John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.

• Hadoop 2 FAQ: Upgrade spins new YARN, breaks MapReduce bonds

  FAQ | searchDataManagement

  Hadoop 2 is a big step forward for the distributed processing framework, now freed from its reliance on MapReduce. Get details on its key features.

Hadoop cluster

Definition | SearchBusinessAnalytics

A Hadoop cluster is a special type of computational cluster designed specifically for storing and analyzing huge amounts of unstructured data in a ...

View Related Content

• SQL Server-Hadoop highway to 'big data' ventures into new territory

  Tip | searchSQLServer

  Microsoft’s SQL Server-Hadoop connectors bridge the structured, relational database world with the unstructured universe of big data. For DBAs, there...

• Hadoop enables distributed 'big data' processing across clouds

  Tip | searchNetworking

  The Hadoop framework enables distributed 'big data' processing across servers that can improve application performance and offer up redundancy.

• Hadoop enables distributed ‘big data’ processing across clouds

  Tip | searchBusinessIntelligenceIN

  The Hadoop framework enables distributed “big data” processing across servers that can improve application performance and offer up redundancy.

Hadoop data lake

Definition | SearchDataManagement

A Hadoop data lake is a data management platform comprising one or more Hadoop clusters.

View Related Content

• EMC Isilon dives deeper into analytics, Hadoop, data lakes

  News | searchStorage

  EMC added a NAS array that can scale to 50 PB and upgraded its operating system to support the latest version of HDFS, plus OpenStack Swift.

• Spark and S3 storage carry forward NBC big data initiative

  Podcast | searchDataManagement

  Has the Hadoop elephant left the room? At NBC, ad analytics have evolved in Hadoop style, but with Spark and S3 at the core, as discussed at the Big ...

• Open Data Platform marks 60 days' progress at Hadoop Summit Europe 2015

  Big data | ComputerWeekly

  The Open Data Platform (ODP) initiative marks growing co-operation between IBM, Hortonworks and Pivotal at the Hadoop Summit Europe 2015

Apache Hadoop YARN

Definition | SearchDataManagement

Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework.

View Related Content

• YARN and MapReduce 2.0 elevates big data Hadoop and scheduled processing

  Feature | TheServerSideCOM

  YARN represents the biggest architectural change in Hadoop since it's inception over seven years ago. Now, Hadoop goes beyond MapReduce to provide ...

• Apache YARN helps to knit more mature Hadoop offering

  THE DATA MILL | searchCIO

  Apache YARN spun a tale of its own at Hortonworks' Hadoop Summit, but it wasn't the only big data announcement. The Data Mill reports.

• Apache Hadoop 3.0 goes GA, adds hooks for cloud and GPUs

  News | searchDataManagement

  Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine ...

SQL-on-Hadoop

Definition | SearchDataManagement

SQL-on-Hadoop is a class of analytical application tools that combine established SQL-style querying with newer Hadoop data framework elements.

View Related Content

• Selecting the right SQL-on-Hadoop engine to access big data

  BI Experts Panel | searchBusinessAnalytics

  Rick van der Lans explains why it's important to evaluate the differences in the technologies that make it possible to access Hadoop data using SQL.

• SQL-on-Hadoop tools help users navigate enterprise Hadoop course

  Feature | searchDataManagement

  Hadoop may be a technology in waiting, unless SQL-on-Hadoop tools turn it into an enterprise mainstay.

• SQL-on-Hadoop platforms open brave new analytics world

  Tip | searchDataManagement

  Hadoop has been slowly plodding through the big data jungle, but SQL's integration may put a spring in the elephant's step.

Hadoop as a service (HaaS)

Definition | SearchStorage

Hadoop as a service provides organizations with big data analytics capabilities that are deployed and managed through a third party. This lets ...

View Related Content

• How is Hadoop infrastructure improving?

  Ask the expert | searchStorage

  John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.

• How to reverse Hadoop issues with private cloud storage

  Tip | searchStorage

  Learn how utilizing private cloud storage providers can help solve common Hadoop problems relating to availability, capacity and migration.

• How big data and Hadoop will change storage management

  Feature | searchBusinessIntelligenceIN

  Big data analytics creates some challenges for storage managers, but effective integration of big data and Hadoop into a storage environment can make...

Hadoop Distributed File System (HDFS)

Definition | SearchDataManagement

The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications.

View Related Content

• How is Hadoop infrastructure improving?

  Ask the expert | searchStorage

  John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.

• Symantec tackles Hadoop storage, 'big data' analytics

  News | searchStorage

  Symantec Corp. seeks to make Apache Hadoop more enterprise friendly by adding a software layer between its Veritas Cluster File System and HDFS.

• What to expect when using HDFS in Hadoop architecture

  ATE | searchStorage

  Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.

Apache Parquet

Definition | WhatIs.com

Apache Parquet is a column-oriented storage format for Hadoop.

View Related Content

• HPE adapts Vertica analytical database to world with Hadoop, Spark

  News | searchDataManagement

  Vertica 8.0 expands the analytical database's support for Kafka, Spark and Hadoop. That's an important step, as the Hewlett Packard Enterprise ...

• Improve query performance, cut costs with Amazon Athena

  Tip | searchAWS

  Amazon Athena can query more data formats than its competitor Google BigQuery, but developers must choose easy-to-process formats to enjoy Athena's ...

• Apache Arrow to revolutionize big data analytics performance

  Podcast | TheServerSideCOM

  Apache Arrow will not only improve the performance of your big data analytics engines, but it will make system interoperability more efficient as ...

MapReduce

Definition | SearchCloudComputing

MapReduce is a core component of the Apache Hadoop software framework.

View Related Content

• MapReduce vs. Spark: Which should I choose for big data in the cloud?

  Answer | searchCloudComputing

  MapReduce and Spark are two common options for processing big data in the cloud. But what are the key differences between the two?

• Getting the most from Elastic MapReduce

  Tip | searchMicroservices

  MapReduce is a technique pioneered by Google for distributing applications across clusters of commodity hardware. It's gaining popularity for its ...

• Hadoop 2 puts big data environment on friendlier analytics turf

  BI Experts Panel | searchBusinessAnalytics

  Separating resource and application management in Hadoop 2 improves the framework's ability to support data analytics, says consultant David Loshin.