Mike Olsen, CEO of Cloudera joins SiliconAngle’s John Furrier and Wikibon’s Dave Vellante and talks about the origins of Hadoop, what types of problems it solves and the types of customers using Hadoop. — Recorded live on Justin.tv – j-tv.me
Another video in Patricia Florissi’s (EMC Americas/EMEA CTO) “Big Ideas” series. This one explains Hadoop. It covers the history, the architectural principles, functions (like the name node, MapReduce). It’s interesting and useful to all (regardless of whether you’re an EMCer or not), but it also REALLY highlights why things we’re doing (like EMC GreenPlum HD as a leading Enterprise Hadoop distribution, or Isilon being able to natively support HDFS with a distributed name node function) are really applicable to these use cases! For EMCers and EMC Partners, on EduTube (edutube.emc.com), you can download the original file, more detail, comment, ask questions and more. This is a useful followup to the previous “Big Ideas” video around understanding cluster application and infrastructure models. Enjoy – from your friends at EMC!
Video Rating: 4 / 5
Nimbula and MapR bring Hadoop to Private Cloud. Now customers can deploy Hadoop on top of Nimbula Director in mere minutes and start running their Hadoop job on the cloud. Watch this video to see how quickly you can have your Hadoop cluster running on Nimbula Director
Kognitio, Xtremesights Leverage Hadoop for Big Data
Kognitio and Xtremeinsights are the latest companies partnering to tackle the challenge of Big Data management in the cloud with Hadoop. The two companies plan to integrate their respective offerings to help customers gain greater insights from Big Data.
Read more on TalkinCloud (blog)
HP, Cloudera Extend Hadoop Ties, Plan Appliance
Notch yet another partnership for Hadoop software and services provider Cloudera, as it announced Thursday a deal through which HP will resell the Cloudera Enterprise platform along with its hardware and an HP Hadoop appliance set for release in the …
Read more on InformationWeek
Cloudera, HP To Simplify Hadoop Cluster Management
Hadoop is one of those hot topics in cloud computing right now, and if industry experts are to be believed, there will be a huge channel opportunity in Hadoop going forward — particularly related to big data in the cloud. Now, Hewlett-Packard (NYSE …
Read more on TalkinCloud (blog)
A few nice Hadoop images I found:
Taller Hadoop
Image by SeedRocket_
Juanjo explica algunas claves a saber sobre Hadoop
Taller Hadoop
Image by SeedRocket_
Juanjo explica algunas claves a saber sobre Hadoop
Ready to unlock the power of your data? With this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. You’ll find illuminating case studies that demonstrate how Hadoop is used to solve specific problems. This third edition covers recent changes to Hadoop, including material on the new
List Price: $ 49.99
Price:
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Make way for Hadoop in the 'Big Data' craze
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10 Questions for Hortonworks CTO Eric Baldeschwieler
About the company: Hortonworks provides support and services for Apache Hadoop. It builds and distributes the Hortonworks Data Platform, which is open-source data management software powered by Hadoop. 1. Where did you start your career and what …
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Cloudera Honored by Morgan Stanley With Prestigious 'CTO Award for Innovation'
About Cloudera Cloudera, the leader in Apache Hadoop-based software, services and training, enables data driven enterprises to easily derive business value from all their structured and unstructured data. Cloudera's Distribution Including Apache Hadoop …
Read more on MarketWatch (press release)
www.nearinfinity.com Scott Leberknight presents on Hadoop. Hadoop is an open source framework maintained by the Apache Software Foundation for creating fault-tolerant, distributed applications that process vast amounts of data in parallel across a cluster of commodity servers. Hadoop consists of two primary components the Hadoop Distributed Filesystem (HDFS) and a MapReduce framework. HDFS is a distributed filesystem which efficiently stores very large files across a cluster in a fault-tolerant manner. MapReduce is a framework for dividing data processing into two distinct phases, mapping and reducing, in order to deconstruct a problem so it can be run in parallel across many machines in order to speed data transformation and aggregation. In this talk we’ll look at both HDFS and the MapReduce framework. We’ll also look at one specific Hadoop subproject, Hive, which provides a data warehousing capability on top of Hadoop and allows developers and analysts to query their data stored in HDFS using SQL queries.
Video Rating: 5 / 5
Article by Kate
The father of Hadoop participate in Chinese 2011 for cloud computing conference – Careers
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The institute of computing technology, the Chinese academy of sciences sponsored Hadoop China 2011 cloud computation conference (Hadoop in China 2011, HiC2011) will be on December 2, to 3, in Beijing convention center, this will be Hadoop in China community an annual technology event! Conference will be united international and domestic Hadoop and cloud Computing technology application success enterprise, and introduce the international research field for cloud Computing and DISC (Data Intensive Super Computing) research direction of academic point of view. Through the technical application and scientific research double cloud computing technology perspective and Hadoop open source ecological system present situation and development trend.
Doug Cutting, Apache software foundation Hadoop, chairman of the father of the”
The father of Hadoop first visit to participate in exchange
Congress special invited Lucene, Nutch, Hadoop, the father of the open source software, Apache software foundation chairman and ApacheHadoop project director Mr. DougCutting; Condor founder University of Wisconsin–Madison’s MironLivny professor; GOOGLE, facebook, and many other experts site speech communication, some experts to is for the first time in China for communication.
In recent years, more and more domestic and foreign Internet companies and traditional enterprises have realized data bring the potential value of the asset scale. To Hadoop, as a representative of the mass data Processing (BigData Processing) technology becomes mature makes “business is king” to “data is king” to change. Such as clean out treasure of the company’s “data cube” application, which based on the analysis of the transaction data and mining, provide dynamic hot line industry and market development trend of depth data services. Mass data processing technology development often beyond imagination. Take the user has 600 million of Facebook, for example, mass data processing more toward the real-time, on the ETL (Extract, Transform, Load) from the original delay of 24 to 48 hours evolution to less than 10 seconds to meet online and real time data analysis needs. Can see “if performance not meet demand is the function is lost” such a system design guiding ideology. In addition, the scale of the data without appropriate “digging treasure tool” is unable to reflect its value. Information retrieval, content mining, natural language processing, data visualization, calculation of advertising, geographic information system, etc all use Hadoop technology research and development from the data to value of all kinds of tools, and played the “mass data digging treasure” role.
The prosperity of Hadoop community to see. More and more companies at home and abroad to participate in community development Hadoop, or directly to the use of open source software online. This greatly promote the Hadoop technology in domestic promoted development, expanded the mass data processing of should use range. We are delighted to see images of passion flesh research Hadoop, this year’s VLDB appearing several articles and MapReduce/Hadoop related papers. This shows Hadoop and many can improve the place can be improved. On the other hand, some business software also be in to Hadoop technology draws close, compatible Hadoop software stack. At the same time, there was a group of both at home and abroad to provide technical advice and service Hadoop, Hadoop mass data processing technology of commercial value gradually get the attention of the industry.
Mass data digging treasure
Hadoopin China assembly has four th, this year’s conference theme is “mass data digging treasure”. Hope to “is the most meticulous detail, the research and development direct exchange interaction” make the congress to “understand the actual demand, listen to master, promote the application practice, point to carry forward the spirit of open source” purposes. The more hope that through HiC2011 congress with more grassroots Hadoop hero!!!!!
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I’m Kate , which offers quality products such as Led Solar Street Lights, LED Tunnel Light Manufacturer, and many more. Know more , please visit LED FloodLights .
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