How To Hadoop

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Hadoop Summit: Cloudera and Hortonworks who can ride the dust?

One of the biggest hot topics at the Hadoop summit this year is http://www.aliyun.com/zixun/aggregation/13456.html "> Cloudera and Hortonworks the competition between the highly renowned competitors. Now, as the market matures, the rivalry between the two sides has been white-hot, and Cloudera's recent news of a large financial bailout led by Intel has helped. But it's really a ...

Splunk software integrates with Apache (TM) Hadoop (tm)

Splunk Inc., the leading operating intelligence software provider, announced today that it will integrate Splunk enterprise™ software with apache™hadoop™. A new package named Splunk Enterprise™with Hadoop will benefit Splunk users and businesses that plan to configure Hadoop. Incumbent Battery Ventures entrepreneur, former chief architect of Yahoo Global Cloud computing group Tod ...

How long will the brilliance of Hadoop last?

Hadoop technology is everywhere. For better or worse, Hadoop has become synonymous with big data. In just a few years, Hadoop has become a de facto standard from an edge technology. It seems that not only is Hadoop now a standard for corporate data, but its position in the future seems to be hard to shake. Google file system and MapReduce let's explore the soul of Hadoop--mapreduce. Faced with the explosive growth of data, ...

Using HADOOP-RDMA to speed up large data processing

China's most influential and largest large data-gathering event--2013 China's Big Data Technology conference (DA data Marvell CONFERENCE,BDTC) was held in Beijing in December 2013 5-6th. Dozens of leading companies, nearly 70 lectures, not only covers the Hadoop ecosystem and flow calculation, real-time computing and NoSQL, Newsql and other technical direction, but also on the Internet, finance, telecommunications, transportation, medical and other innovative cases, large data resources laws and regulations, large data commercial use policy ...

Splunk launches hunk 6.1 for Hadoop and NoSQL Data Stores

Splunk recently announced the launch of version 6.1 Hunk:splunk Analytics for Hadoop and NoSQL data Stores for Hadoop and NoSQL data Stores. Hunk 6.1 makes it quicker and easier to convert raw unstructured data from Hadoop and NoSQL data storage into business insights. Hunk's upgrade report significantly shortens reporting time, while interactive dashboards provide rich self-help analysis without the need to ...

Research on the performance of HADOOP+GPU

Hadoop parallel processing can multiply performance, GPU is increasingly becoming an important burden of computing tasks, Altoros BAE Research and development team has been dedicated to explore the possibility of HADOOP+GPU, and in the actual large-scale system implementation, this article is part of their research results. Hadoop parallel processing can improve performance exponentially. The question now is what happens if some of the computing work is migrated from the CPU to the GPU? Can be faster theoretically, if these processes are optimized for parallel computing, on the GPU ...

Big Data Drives Revenue Soars - Hadoop Startups

Big data is still considered a bubble gold? The close attention of businesses, the media, and even the general public is only superficial. The most persuasive data comes from the valuation of Hadoop startups related to big data. For the most part, Hadoop startups are yet to go public, so for the time being the size and growth of this market do not yet have a very accurate data, but from the case of big data venture capitalist size involved and Hadoop startup employees Number of people, there are still some clues to let me ...

Use Rhino projects for data encryption in Apache Hadoop

Cloudera recently released a news article on the Rhino project and data at-rest encryption in Apache Hadoop. The Rhino project is a project co-founded by Cloudera, Intel and Hadoop communities. This project aims to provide a comprehensive security framework for data protection. There are two aspects of data encryption in Hadoop: static data, persistent data on the hard disk, data transfer, transfer of data from one process or system to another process or system ...

Nine snakes and elephants fight, Hydra or will replace Hadoop

"Editor's note" Hadoop is considered the best large data analysis platform, itself has good performance, as well as active open source community support, Hadoop founder Doug Cutting also predicted that future Hadoop is not only for large data processing, but also will become the system core of the data platform, will be used for online transaction processing ... Hadoop's development prospects seem bright, but did not notice the emergence of competitors, Hydra in some ways even more than Hadoop superior performance, announced Open source, Hydra got more and more ...

Pivotal and Hortonworks together to create Hadoop standard management tools

Pivotal will work with the Apache Hadoop release provider Hortonworks on the open source project, Apache Ambari, whose collaboration will help refine Hadoop as an enterprise-class application and will significantly enhance the Hadoop ecosystem. Hortonworks recently received a $50 million worth of equity investment from Hewlett-Packard and now has another powerful partner, pivotal, who will collaborate on the open source project, Apache Ambari ...

Hadoop 2: A big leap in the evolution of large data

The new Hadoop not only makes it possible to further stimulate the application of Hadoop, but it will also create a new method of data processing within Hadoop, which is impossible under previous architectural constraints.   In short, this is a good thing.   What has been limiting the development of Hadoop? More importantly, what is the future of Hadoop? Various criticisms of Hadoop revolve around its extended limitations, and the biggest problem here is its work. All the work in Hadoop is done by being called jobtr ...

Hadoop: Facing the challenge of big data

Http://www.aliyun.com/zixun/aggregation/14417.html ">apache Hadoop to address the challenges of large data by simplifying the implementation of data-intensive, highly parallel distributed applications. Hadoop is being used by many companies, universities and other organizations around the world, which allows the analysis task to be divided into work fragments and distributed to thousands of computers, providing rapid analysis time and the distribution of massive data storage. Hadoop for storing massive data ...

10 reasons why Hadoop has huge data security risks

Hadoop has 10 reasons for the huge data security risks: 1, Hadoop is not designed for enterprise data like many pioneering it technologies (such as TCP/IP or UNIX), the concept of Hadoop is not from enterprise users, enterprise security is not to talk about. The original purpose of using Hadoop is to manage publicly available information, such as Web links. It is aimed at a large number of http://www.aliyun.com/zixun/aggregation/13739.htm ...

Hadoop is also beautiful in terms of business opportunities brought about by security risks

Hadoop, a large, hyped data tool designed to index web search engines rather than credit card numbers, is not a key concern. For this reason, many companies have a taste for Hadoop. Currently, several Hadoop distributors, including Cloudera and Intel, are implementing or developing security plans. Patent and Patch Zettaset is a company that provides security features for the Hadoop release, and its chairman and CEO Jim Vogt said ...

Nine snakes and elephants fight, Hydra or will replace Hadoop

"Editor's note" Hadoop is considered the best large data analysis platform, itself has good performance, as well as active open source community support, Hadoop founder Doug Cutting also predicted that future Hadoop is not only for large data processing, but also will become the system core of the data platform, will be used for online transaction processing ... Hadoop's development prospects seem bright, but did not notice the emergence of competitors, Hydra in some ways even more than Hadoop superior performance, announced Open source, Hydra got more and more ...

Hadoop start-up revenues and valuations soar

Is the big data a bubble or a gold mine? The broad focus of business, the media and even the public is just a symptom, and the most persuasive data comes from the valuations of Hadoop startups, which are big data-related. Hadoop startups are mostly not on the market, so there's not much accurate data on the size and growth of the markets yet, but we still have the ability to see the leopard in terms of the size of the big data VC case and the number of Hadoop start-up employees, A general understanding of the scale of large data ventures represented by Hadoop startups. Hadoop entrepreneurship ...

From Hadoop practice to business based analysis

The Open-source implementation of Hadoop, Google's 3 papers, allows developers to do massive data processing on commercial servers, which, while not suitable for real-time scenarios, allows users to do off-line data analysis at a lower cost, which is why when the dirty-handling framework is lined up, Hadoop is still widely used and the reason for discussion.   This issue starts with Hadoop and opens the door to business based data analysis. The first to share was the architect, Zhou, from the nine city technical department, who was in charge of Hadoop. He is also me ...

Tianya: Hadoop allows us to provide a better experience for our users

Tianya, the most famous Chinese community in the world, has been carrying the "colorful" of Chinese society in the form of forum. In the current era of information dissemination without Borders, Tianya is undoubtedly a strong position of public opinion, but also a brand of public opinion, how many major social events, how many times the transmission of social love, how many back to the fiery social topic of discussion, I think has been countless, They give us a clear sense of Tianya's position and influence in China's internet world. Along with this position and influence comes the huge amount of traffic, and the accumulated data, ...

8 Noteworthy Sql-on-hadoop Frameworks

The operating language of the data is SQL, so many tools are developed with the goal of being able to use SQL on Hadoop. Some of these tools are simply packaged on top of the MapReduce, while others implement a complete data warehouse on top of the HDFs, while others are somewhere between the two. There are a lot of such tools, Matthew Rathbone, a software development engineer from Shoutlet, recently published an article outlining some common tools and scenarios for each tool and not ...

Application of document database in Hadoop cluster

November 2013 22-23rd, as the only large-scale industry event dedicated to the sharing of Hadoop technology and applications, the 2013 Hadoop China Technology Summit (Chinese Hadoop Summit 2013) was held at four points by Sheraton Beijing Group Hotel.   Nearly thousands of CIOs, CTO, architects, IT managers, consultants, engineers, enthusiasts for Hadoop technology, and it vendors and technologists engaged in Hadoop research and promotion will be involved in a range of industries from home and abroad. In S ...

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