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...
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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.
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ATE | searchStorage
Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.
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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 ...
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 ...
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ATE | searchStorage
Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.
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Ask the expert | searchStorage
John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.
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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.
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 ...
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Tip | searchSQLServer
Microsoft’s SQL Server-Hadoop connectors bridge the structured, relational database world with the unstructured universe of big data. For DBAs, there...
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Tip | searchNetworking
The Hadoop framework enables distributed 'big data' processing across servers that can improve application performance and offer up redundancy.
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Tip | searchBusinessIntelligenceIN
The Hadoop framework enables distributed “big data” processing across servers that can improve application performance and offer up redundancy.
Definition | SearchDataManagement
A Hadoop data lake is a data management platform comprising one or more Hadoop clusters.
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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.
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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 ...
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Big data | ComputerWeekly
The Open Data Platform (ODP) initiative marks growing co-operation between IBM, Hortonworks and Pivotal at the Hadoop Summit Europe 2015
Definition | SearchDataManagement
Apache Hadoop YARN is the resource management and job scheduling technology in the open source Hadoop distributed processing framework.
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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 ...
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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.
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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 ...
Definition | SearchDataManagement
SQL-on-Hadoop is a class of analytical application tools that combine established SQL-style querying with newer Hadoop data framework elements.
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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.
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Feature | searchDataManagement
Hadoop may be a technology in waiting, unless SQL-on-Hadoop tools turn it into an enterprise mainstay.
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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.
Definition | SearchStorage
Hadoop as a service provides organizations with big data analytics capabilities that are deployed and managed through a third party. This lets ...
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Ask the expert | searchStorage
John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.
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Tip | searchStorage
Learn how utilizing private cloud storage providers can help solve common Hadoop problems relating to availability, capacity and migration.
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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...
Definition | SearchDataManagement
The Hadoop Distributed File System (HDFS) is the primary data storage system used by Hadoop applications.
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Ask the expert | searchStorage
John Webster describes how changes to HDFS and the NameNode can help to improve Hadoop infrastructure.
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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.
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ATE | searchStorage
Analyst John Webster details issues with Hadoop architecture and what users can expect from Hadoop Version 2.0.
Definition | WhatIs.com
Apache Parquet is a column-oriented storage format for Hadoop.
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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 ...
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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 ...
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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 ...
Definition | SearchCloudComputing
MapReduce is a core component of the Apache Hadoop software framework.
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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?
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Tip | searchMicroservices
MapReduce is a technique pioneered by Google for distributing applications across clusters of commodity hardware. It's gaining popularity for its ...
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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.