What Is Apache Hadoop

Docker is undoubtedly the most popular open-source technology this year, and Docker is now the darling of entrepreneurs and innovators in the IT world. Regardless of Google, Microsoft, Amazon, IBM and other technology manufacturers are actively supporting Docker technology, Docker although the introduction and use is very simple, but the whole ecosystem is quite large, and its underlying technology is also very complex, the current based on Docker technology projects springing up, today, The author summarizes the rapid evolution of the Docker related technology, to share with you. Kubernet ...

Earlier this month, Oracle began shipping large data machines (Oracle http://www.aliyun.com/zixun/aggregation/13527.html ">BIG Data Appliance"), analysts said. This will force major competitors such as IBM, HP and SAP to come up with Hadoop products that tightly bundle hardware, software and other tools. On the day of shipment, Oracle announces that its new product will run cloud ...

Today, Apache Hadoop is no longer known to anyone. 　　When Doug Cutting, the Yahoo search engineer, developed the Open-source Software Library to create a distributed computing environment and named his son's elephant doll, who would have thought it would one day occupy the top spot of "Big data" technology? While Hadoop is associated with big data, it is believed that many users have little knowledge of it. In last week's Tdwi Solution Summit, TDWI research director and industry analyst Phil ...

Recently, the http://www.aliyun.com/zixun/aggregation/13537.html ">hadoop 2 GA release, with the help of Yarn,hadoop 2, can create data processing applications that work locally in Hadoop." By separating cluster resource management concerns from data processing, yarn enables Hadoop to be applied to data processing other than Map-reduce. So a lot of new projects are likely to come true ...

Based on the Apache Hadoop 2.2 released last month, concurrent, a large data application platform expert, today unveiled a new version of cascading--'s large data application framework. 　　Concurrent also launched cascading lingual 1.0, an Open-source project that provides a full ANSI SQL interface. Cascading is a stand-alone Open-source Java application framework designed as an alternative API for MapReduce. ...

"This is the first time that a yarn architecture can run in a Windows environment," says Jim Walker, head of product marketing at Hortonworks. "Running Hadoop on Windows is important to all customers." "Apache Hadoop yarn is the foundation of Hadoop 2.0 released last October." Yarn, as a Hadoop operating system, uses a single data platform for batch processing and transforms it into a multipurpose platform that can be batch-processed, interactive 、...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

ETU releases the Big Data solution The Asian leadership brand officially enters the China market release time: 2012.06.01 17:36 Source: Sadie Net Author: Sadie Network "Sadie Network" May 31, 2012, Jingcheng Group officially released its big Data solution brand in Beijing--etu (knowledge intent), designed to provide users with a combination of soft and hard end-to-end care industry ...

"The Internet World" is a series of questions that have come up since Intel announced in March this year that it was buying $740 million for big data [note] software solution provider Cloudera's 18% stake: for example, two companies have their own Apache Hadoop distributions, 　　How are the two products and services integrated? is the Legacy Apache Hadoop Intel distribution user's follow-up service guaranteed? How has Intel changed its strategy on big data? And so on. May 8, Intel and Cloudera in ...

&http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Recently, the Hadoop 2 GA release, with the help of Yarn,hadoop 2, can create data processing applications that work locally in Hadoop. By separating cluster resource management concerns from data processing, yarn enables Hadoop to be applied to data processing other than Map-reduce. So ...

Roy http://www.aliyun.com/zixun/aggregation/16940.html ">rubin is a co-founder of Magento, the Open-source project founded in 2008, 　　But recently he announced he will no longer support the project. Roy Rubin is not the first founder to leave his Open source project, which is not to say Rubin is not important to Magento project, in fact, the past six years Rubin is the soul of the whole project ...

A few months ago, Microsoft announced its own version of the Hadoop release hdinsight for Big Data management, analytics and mining. 　　The reporter contacted the senior product marketing manager, Val Fontama, of SQL Server, hoping to learn more about Microsoft's corporate-class data. On the growth trend in the size of datasets in the enterprise: The ocean of data has been growing. There is a forecast that the volume of business information is doubled each year. For example, Gartner found all ...

Big data and Hadoop are moving in a step-by-step way to bring changes to the enterprise's data management architecture. This is a gold rush, featuring franchisees, enterprise-class software vendors and cloud service vendors, each of whom wants to build a new empire on the Virgin land. Although the Open-source Apache Hadoop project itself already contains a variety of core modules-such as Hadoop Common, Hadoop Distributed File Systems (HDFS), Hadoop yarn, and Hadoop mapreduce--...

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

David Zielenziger of IBTimes said a while ago that Red Hat hopes to make its products compatible with the open source community so that business users can add and manage data easily. This initiative from Red Hat will compete with Oracle and SAP in the business, including competition for contracts and market share, as well as competition among "big data" departments. The following is the full text of the article: Open source Linux software maker Red Hat said it plans to migrate most of its software and storage products to the open source community to speed up the cloud ...

Cloud computing with hot big data, big data scrambled high Hadoop. Previous years of data technology has been at the forefront of the storage area, the various analysis of data explosion trends, so that large data inevitably become a large number of manufacturers a new promotional point or strategic objectives, reminding people to change the perspective of the PB-level storage. Mainstream storage vendors, including EMC, IBM, HP, Oracle, and NetApp, have rolled out their big data plans, just like the cloud-computing rush of the year, when big data areas become more crowded and manufacturers ...

Over the past few years, with the transactional IT to interactive IT transition, corporate data began to show an explosive growth. Due to the rise of social media, the massive applications of digital sensors and the popularization of mobile devices have directly led to the rapid emergence of various large amounts of big data. This kind of multi-structured data market value is not high, but the huge amount of data contains a hidden huge wealth. Thus, how to effectively manage big data has become a topic of concern to the industry. According to 2011 Unisphe ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

The Hadoop system runs on a compute cluster of commodity business servers that provide large-scale parallel computing resources while providing large-scale distributed data storage resources. On the big data processing software system, with the open-source development of the Apache Hadoop system, based on the original basic subsystem including HDFS, MapReduce and HBase, the Hadoop platform has evolved into a complete large-scale Data Processing Ecosystem. Figure 1-15 shows the Ha ...