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DEFINITION: Apache is a freely available Web server that is distributed under an open source license. Version 2.0 runs on most UNIX-based operating systems (such as Linux, Solaris, Digital UNIX, and AIX), on other UNIX/POSIX-derived systems (such as Rhapsody, BeOS, and BS2000/OSD), on AmigaOS, and on Windows 2000. According to a Netcraft (www.netcraft.com) Web server survey 60% of all Web sites on the Internet  … 
Definition continues below.
Apache Reports
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Maximize Big Data in the Cloud: Unlock the Potential of Data-at-Rest and Data-in-Motion
sponsored by Hortonworks
WHITE PAPER: This white paper explores how to monitor and manage big data with Apache Hadoop in the cloud. Discover how to create a scalable, agile data architecture and obtain key insights from data-at-rest and data-in-motion.
Posted: 28 Mar 2017 | Published: 31 Dec 2016

Hortonworks

What do you get when you combine Machine Learning with Apache Spark and GPUs?
sponsored by IBM
WEBCAST: Machine learning is helping your software adapt to new data as it comes up so you don't have to spend your time coding and recoding. Listen to this webcast to learn about leveraging Apache Spark and GPUs to accelerate machine learning libraries.
Posted: 09 Mar 2017 | Premiered: Mar 9, 2017

IBM

The Secret to Big Data Project Success Through Analytics
sponsored by Oracle Corporation
EGUIDE: In this e-guide you will hear from big data experts Doug Laney, Mike Gualtieri, and Robert Morison as they divulge 7 secrets to big data project success.
Posted: 04 Feb 2016 | Published: 04 Feb 2016

Oracle Corporation

Common Hadoopable Problems – And Real-World Hadoop Use Cases
sponsored by Cloudera
WHITE PAPER: Explore concrete examples of companies that leveraged Hadoop to advance the state of their data analytics and drive business impact.
Posted: 08 Feb 2017 | Published: 08 Feb 2017

Cloudera

Big Names Reveal Strategies and Experiences with Big Data, Open Source, and Analytics
sponsored by InterSystems
EGUIDE: In this expert e-guide, we examine the evolution of open source big data software and the proliferation of platforms like Apache Spark and Hadoop. Inside, you'll learn how open source tools can act as the building blocks of big data management and uncover key considerations for implementing a sound big data strategy.
Posted: 30 Nov 2016 | Published: 29 Nov 2016

InterSystems

5 Key Capabilities Surrounding a Top-Notch Hadoop Environment
sponsored by IBM
RESEARCH CONTENT: Companies that have current Hadoop deployments are more likely to exploit a variety of capabilities, like data governance and predictive analytics. In this Aberdeen Group report, Discover how you can take advantage of the same technologies and capabilities by improving your data environment with support from Hadoop.
Posted: 07 Jul 2016 | Published: 07 Jul 2016

IBM

Data Sheet: Hadoop-as-a-Service
sponsored by IBM
WHITE PAPER: Learn how you can avoid throwing large monetary and human resources investments at managing analytics applications. Instead, learn how you can leverage a cloud platform without the complexity and costs, but the same benefits.
Posted: 01 Jun 2016 | Published: 30 Jun 2015

IBM

Fueling Free Markets in the Insight Economy with Apache Spark
sponsored by IBM
WHITE PAPER: Find out Apache Spark can enable data analytics capabilities that Hadoop alone can't provide. Learn the various ways Spark can unlock the potential of big data, including streamlined development, simplified data access, accelerated analytics results, and more.
Posted: 01 Jun 2016 | Published: 30 Sep 2015

IBM

Spark for Big Data Initiatives: Biggest Opportunities & Challenges
sponsored by SearchBusinessAnalytics
EBOOK: This expert e-guide discusses how Spark users are overcoming the processing engine's maturity issues to extract optimal value out of big data. Explore the biggest benefits and limitations of Spark and discover where it stands in the market relative to its competitors.
Posted: 16 May 2016 | Published: 16 May 2016

SearchBusinessAnalytics

Spark Muscles Into Big Data Processing
sponsored by SearchDataManagement
EBOOK: Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right.
Posted: 04 Apr 2016 | Published: 29 Mar 2016

SearchDataManagement

Spark Muscles Into Big Data Processing
sponsored by SearchDataManagement
EBOOK: Armed with data processing, streaming and machine learning capabilities, the multitalented Apache Spark architecture is becoming a force in its own right. Uncover Spark 2.0's upcoming upgrades and learn how the combination of Spark and NoSQL could help broaden the use of both technologies.
Posted: 29 Mar 2016 | Published: 29 Mar 2016

SearchDataManagement

Demystifying the Open Data Platform and How Customers Can Do More with Hadoop
sponsored by IBM
WEBCAST: Data is growing exponentially. Organizations are racing to better understand every piece of data relevant to better their business, and new capabilities on platforms like Hadoop and Spark are helping them do so. Watch this webinar to find out how your enterprise can do more with Hadoop and Spark.
Posted: 17 Mar 2016 | Premiered: Nov 30, 2015

IBM

DBA Skills Must Evolve, Morph to Cope With Big Data Technologies
sponsored by Rackspace
EGUIDE: This e-guide will explore top trends in data processing that DBA's should be aware of. Download now to learn what skills DBA's should be learning to keep pace with this changing landscape.
Posted: 25 Feb 2016 | Published: 22 Feb 2016

Rackspace

Getting Started with Hadoop on Openstack
sponsored by Rackspace
RESOURCE CENTER: The following resource will provide readers with an example of how to get started with Apache Hadoop in the cloud. Inside, learn how to launch Hadoop cluster with two nodes and growing up to 64 nodes.
Posted: 18 Feb 2016 | Published: 18 Feb 2016

Rackspace

Reference Architectures for Big Data
sponsored by Rackspace
WHITE PAPER: This white paper outlines the components of a typical big data configuration and where those components normally reside. Uncover managed Apache Hadoop data support features that can design an optimal big data configuration, customizing it to address specific data requirements, reference architectures and flexible network design.
Posted: 17 Feb 2016 | Published: 22 Jun 2015

Rackspace

Big Data Processing Made Faster and Easier
sponsored by Rackspace
WHITE PAPER: Hadoop often requires expensive, hard-to-find expertise. Access this white paper to discover Hadoop support strategies that provide faster time to insights, simplified management, cloud performance, and more.
Posted: 17 Feb 2016 | Published: 16 Sep 2015

Rackspace

Build Smarter Data-Fueled Applications
sponsored by IBM
WEBCAST: This webcast discusses how harnessing the right technology can enable data scientists and developers to create better, more advanced analytics systems.
Posted: 30 Oct 2015 | Premiered: Oct 30, 2015

IBM

Get More from Apache Hadoop Analytics
sponsored by IBM
WHITE PAPER: This white paper discusses how you can optimize your analytics capabilities in Apache Hadoop systems. Learn how you can build smarter applications, advance data analysis and accelerate work.
Posted: 29 Oct 2015 | Published: 29 Oct 2015

IBM

How to Take Control of your Data and Free Up IT
sponsored by SAS
WHITE PAPER: While storing big data in Hadoop is one thing, the ability to manage it is quite another. Discover how your organization can easily take control of your data stored in Hadoop by accessing this white paper now.
Posted: 16 Oct 2015 | Published: 16 Oct 2015

SAS

Introducing the New IBM MobileFirst Platform
sponsored by IBM
WEBCAST: This webcast provides an introductory walkthrough to hybrid application development using a mobile first tool that makes this type of appdev simpler. Learn how to get your mobile apps up and running while leveraging the strengths of hybrid development.
Posted: 13 Oct 2015 | Premiered: Oct 2, 2015

IBM

What is Rackspace Cloud big data?
sponsored by Rackspace
RESOURCE: Access this resource now to discover the full range of capabilities of cloud big data.
Posted: 28 Sep 2015 | Published: 03 Aug 2015

Rackspace

New to Hadoop? A practical guide for beginners (part 1)
sponsored by Rackspace
WHITE PAPER: In this handy guide new users will gain an understanding of the basic functionality of Hadoop to more effectively manage their big data. Access now to master data storage, data processing, data streaming, columnar databases, and more.
Posted: 25 Aug 2015 | Published: 07 Jul 2014

Rackspace

How, Where and Why Big Data Analytics Are Delivering Value
sponsored by SearchBusinessAnalytics
EBOOK: Benchmark Reports examine customer perceptions and adoption rates of technologies in the business intelligence (BI) market. Each report focuses on a specific area and surveys BI and IT professionals to understand the current market for that segment.
Posted: 25 Jun 2015 | Published: 25 Jun 2015

SearchBusinessAnalytics

The Strengths and Weaknesses of Data Loader for Hadoop
sponsored by SAS
RESOURCE: Uncover the facts behind one of the newest self-service data preparation systems for Hadoop in this 451 research study. Discover the strengths and weaknesses behind Data Loader for Hadoop and learn which competing products remain cater to similar needs and customers.
Posted: 29 Apr 2015 | Published: 28 Jan 2015

SAS

Business Information E-zine Vol. 3: Making Sense of Big Data: Zero in on the Information You Really Need
sponsored by IBM
EZINE: To get business value out of your collections of big data and avoid overwhelming your systems, you need to be smart about what you analyze and what you leave untapped. This issue of Business Information e-zine explores the importance of zeroing in on the information you really need to make sense of your big data.
Posted: 09 Feb 2015 | Published: 05 Feb 2015

IBM
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APACHE DEFINITION (continued): … Apache is a freely available Web server that is distributed under an open source license. Version 2.0 runs on most UNIX-based operating systems (such as Linux, Solaris, Digital UNIX, and AIX), on other UNIX/POSIX-derived systems (such as Rhapsody, BeOS, and BS2000/OSD), on AmigaOS, and on Windows 2000. According to a Netcraft (www.netcraft.com) Web server survey 60% of all Web sites on the Internet are using Apache (62% including Apache derivatives), making Apache more widely used than all other Web servers combined. According to the Apache Software Foundation:The name 'Apache' was chosen from respect for the Native American Indian tribe of Apache, well-known for their superior skills in warfare strategy and their inexhaustible endurance. It also makes a cute pun on "a patchy web server" -- a server made from a series of patches -- but this was not its origin. The group of developers who released this new software soon started to call themselves the "Apache Group".
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