What Is Apache Hadoop

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Cloudera CTO: Replace MapReduce future will increase spark and other framework inputs

Over the past two years, the Hadoop community has made a lot of improvements to mapreduce, but the key improvements have been in the code layer, http://www.aliyun.com/zixun/aggregation/13383.html ">   Spark, as a substitute for MapReduce, has developed very quickly, with more than 100 contributors from 25 countries, and the community is very active and may replace MapReduce in the future. The high latency of mapreduce has become ha ...

Hadoop: A stable, efficient and flexible large data processing platform

If you talk to people about big data, you'll soon be turning to the yellow elephant--hadoop (it's marked by a yellow elephant).   The open source software platform is launched by the Apache Foundation, and its value lies in its ability to handle very large data in a simple and efficient way. But what is Hadoop? To put it simply, Hadoop is a software framework that enables distributed processing of large amounts of data. First, it saves a large number of datasets in a distributed server cluster, after which it will be set in each server ...

Erasure code saves data recovery bandwidth for Hadoop

7 authors from the University of Southern California and Facebook have jointly completed the paper "XORing elephants:novel Erasure code for big Data." The author developed a new member of the Erasure code family--locally repairable codes (that is, local copy storage, hereinafter referred to as LRC, which is based on XOR. Significantly reduces I/O and network traffic when repairing data. They apply these codes to the new Hadoop ...

Hadoop and Meta data

In terms of how the organization handles data, Apache Hadoop has launched an unprecedented revolution--through free, scalable Hadoop, to create new value through new applications and extract the data from large data in a shorter period of time than in the past. The revolution is an attempt to create a Hadoop-centric data-processing model, but it also presents a challenge: How do we collaborate on the freedom of Hadoop? How do we store and process data in any format and share it with the user's wishes?

MongoDB ushered in the primary data analysis function

To make it easier for everyone to introduce analytics into their large data storage systems, Pentaho today announced that the latest version of its Business analytics and data integration platform has officially entered the general phase. The Pentaho 5.1 is designed to provide a bridge between the "data and analysis two separate realms" to support all Pentaho users-from developers to data scientists to business analysts. Pentaho 5.1 for the direct MONGODB data storage system brought to run without making ...

Windows Eclipse Debugging Hadoop Walkthrough

1 download Eclipse http://www.eclipse.org/downloads/Eclipse Standard 4.3.2 64-bit 2) download the corresponding Eclipse plug-in for the Hadoop version My Hadoop is 1.0.4, so download Hadoop-eclipse-plugin-1.0.4.jar download address: Http://download.csdn.net/detai ...

2013 ranking of the world's most influential data companies

At present, the global large data enterprises are divided into two major camps. Some of them are just emerging companies with large data technology as their core, hoping to bring innovative solutions to the market and promote technological development. There are a number of original database/data warehousing business vendors, they intend to use their own advantage to impact large data areas, the existing installation base and product line Word-of-mouth to promote a new wave of technology.   Let's take a look at today's 15 Big data companies list, of which 10 have long been renowned, and the other five are newcomers. 1, IBM according to Wikibon hair ...

Get rid of mapreduce and hug Spark!

The Apache Software Foundation has officially announced that Spark's first production release is ready, and this analytics software can greatly speed up operations on the Hadoop data-processing platform.   As a software project with the reputation of a "Hadoop Swiss Army Knife", Apache Spark can help users create performance-efficient data analysis operations that are faster than they would otherwise have been on standard Apache Hadoop mapreduce. Replace MapReduce ...

Microsoft TechEd: Comparison between large data and traditional database

"IT168 Live Report" December 6, 2012 news, TechEd 2012 Microsoft technical Conference into the last day of the agenda. Microsoft Technical Conference has been successfully held in China for the 19th consecutive year as Microsoft's top technology event in Asia Pacific.   Microsoft technology Conference with a number of star products, the formation of a powerful new technology lineup, unveiled a new era of technology. TechEd brings together developers and IT professionals from around the world, providing technology sharing, community interaction and product assessment resources for the largest technology event, with thousands of Microsoft ...

How to manage and apply integrated system of Biginsights cluster based on Cloudera

This paper first briefly introduces the background of biginsights and Cloudera integration, then introduces the system architecture of Biginsights cluster based on Cloudera, and then introduces two kinds of integration methods on Cloudera. Finally, it introduces how to manage and apply the integrated system. Cloudera and IBM are the industry's leading large data platform software and service providers, in April 2012, two companies announced the establishment of a partnership in this field, strong alliances. Cl ...

Another large group of Windows Azure enhancements Description

Two weeks ago we released a huge improvement to Windows Http://www.aliyun.com/zixun/aggregation/13357.html ">azure, as well as Windows Azure SDK a major update. This morning, we released another large group of Windows Azure enhancements. New features now include: storage: import/export hard drive to your storage account hdinsight ...

Big data: Good friends with data quality? Transactional sources

Many people have a misconception that there is an intrinsic balance between the number of datasets and the quality of the data they maintain internally. This problem appears frequently and becomes Tom's Financial Services information http://www.aliyun.com/zixun/aggregation/16967.html ">sharing and Analysis Center (FS-ISAC) and other places ...

Powerful large data Governance program is the Gospel of business decision professionals

Powerful http://www.aliyun.com/zixun/aggregation/14294.html "> 's Big Data Governance plan eliminates the guesswork of finding and using the right information to make business decisions. Many organizations are working to achieve information governance to oversee critical data on their data, raw materials, suppliers, and finances. For the same reason, companies are starting to implement big data programs, using open source technologies such as Apache Hadoop, through sensors, R ...

China's large data technology conference towards a new stage

Absrtact: Sponsored by the China Computer Association (CCF), CCF Large Data Committee of experts, the Chinese Academy of Sciences and CSDN jointly hosted the seventh session of China's large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) Will be in December 2013 5-6th in Beijing by the China Computer Association (CCF) hosted by the CCF large data Experts committee in collaboration with the Chinese Academy of Sciences, CSDN jointly hosted the seventh session of China's large data technology conference (...

Cloud Computing Week Jevin Review (3.12-17)

The five major database models, whether relational or non relational, are the realization of some data model. This article will give you a brief introduction of 5 common data models, so that we can trace back to the mysterious world behind the current popular database solutions. 1. The relational model relational model uses records (composed of tuples) for storage, records stored in tables, and tables are defined by the schema. Each column in the table has a name and a type, and all records in the table conform to the table definition. SQL is a specialized query language that provides the appropriate syntax for finding records that meet the criteria, such as ...

Running Hadoop on Ubuntu Linux (Single-node Cluster)

What we want to does in this short tutorial, I'll describe the required tournaments for setting up a single-node Hadoop using the Hadoop distributed File System (HDFS) on Ubuntu Linux. Are lo ...

Large Data survey: The current situation of enterprise using large data

The hype surrounding big data is crazy, and the hype is driving a lot of investment into the field. IDC, a market-research firm, predicts that the big data technology and services market will grow at an annual rate of 27% per cent to $32.4 billion by 2017. This growth in the big data market is more than 6 times times higher than the overall ICT market, IDC said. But despite the abundance of money, it is unclear whether the business community has found a way to succeed after the early adoption of big data. To find a clear answer, the researchers surveyed the IT managers and managers of many businesses ...

Non-relational distributed database: HBase

HBase is a distributed, column-oriented, open source database based on Google's article "Bigtable: A Distributed Storage System for Structured Data" by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by Google's File System, HBase provides Bigtable-like capabilities over Hadoop. HBase Implements Bigtable Papers on Columns ...

How to use Mahout and Hadoop to deal with large-scale data

& http: //www.aliyun.com/zixun/aggregation/37954.html "> nbsp; Using Mahout and Hadoop for Large-Scale Data Scaling What Is Real-World in Machine Learning Algorithms? Let us consider that you may need to deploy Mahout The size of a few questions to be solved, a rough estimate, Picasa has 500 million photos three years ago, which means that millions of new photos every day need to be dealt with.

Hortonworks Adds Enterprise Features to Hadoop Distributions

At the recently concluded Hadoop Europe Summit, Hortonworks announced version 2.1 of the Hortonworks Data Platform (HDP). The new version of the Hadoop distribution includes new enterprise features such as data governance, security, streaming and search, and takes the Stinger Initiative tool for interactive SQL queries to a whole new level. Jim Walker, director of product marketing at Hortonworks, said: "In order for Had ...

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