Cloudera Sense

If you're familiar with it, you'll know. Intel actually has a lot of free resources to fight for, such as Intel has a software department that can help and guide users in software optimization and development, Intel offers compilers and various development tools, high-performance computing and the Internet are frequent Intel software, and some have joint laboratories with Intel. For example, Intel also has a data center department that provides consulting and services for data center construction and operation, all free of charge. "Intel's purpose is to help users improve their application level, but given the limited resources, we try to choose ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

"The key is not in what methods, but in being able to really solve problems using any available tool or method," said Forrester analyst James Kobielus in a blog about Big data. "In recent years, with the urgent sense of solving big data problems, many organizations have started to explore the data architects." 　　In short, traditional databases and business intelligence tools that they typically use to analyze enterprise data are no longer competent for large data-processing tasks. To understand this challenge, we must go back to 10 years ago: There were very few t ...

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 ...

In life, perhaps all of them have indirectly used his work, and he is the initiator of Lucene, Nutch, Hadoop and other projects. It was he who made the esoteric search technology a product that contributed to the general public, or he created Hadoop, which is now at the zenith of cloud computing and large data. 　　He is a kind of thief of fire, he is Doug Cutting. From the intern 1985, cutting graduated from Stanford University in the United States. He was not at the outset determined to join the IT industry, in the college era ...

Large data processing technology is changing the current operating mode of the computer. We've got a lot of revenue from that because it's the big data processing technology that brings us search engine Google. 　　But the story is just beginning, and for several reasons, we say that large data processing technology is changing the world: * It can handle almost every type of data, whether it's microblogging, articles, emails, documents, audio, video, or other forms of data. 　　* It works very fast: practically in real time. * It's universal: because it's ...

Abstract: According to foreign media reports, we are all kinds of smart phones dizzy. We were looking forward to Facebook's listing, and then deeply disappointed. Moreover, we are waiting with bated breath to await the verdict of the Apple and Samsung patent dispute case. That is, according to foreign media reports, we were dazzled by all kinds of smartphones. We were looking forward to Facebook's listing, and then deeply disappointed. Moreover, we are waiting with bated breath to await the verdict of the Apple and Samsung patent dispute case. This is the scene of the past 2012 years. Now let's ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Basically are in group discussion, when others ask the introductory questions, later thought of new problems to add in. 　　But the problem of getting started is also very important, the understanding of the principle determines the degree of learning can be in-depth. 　　Hadoop is not discussed in this article, only peripheral software is introduced. 　　Hive: This is the most software I've ever asked, and it's also the highest utilization rate around Hadoop. 　　What the hell is hive? How to strictly define hive is really not too easy, usually for non-Hadoop professionals ...

Absrtact: The average time limit for startups to exit is 7 years. And standing in the tuyere can greatly shorten the exit time. At the end of the 1990, the time of acquisition or IPO was only 2 or 3 years due to the rise of the internet boom. The quickest way out is mergers and acquisitions. The average time frame for a startup to succeed is 7 years. And standing in the tuyere can greatly shorten the exit time. At the end of the 1990, the time of acquisition or IPO was only 2 or 3 years due to the rise of the internet boom. The quickest way out is mergers and acquisitions. And to get a successful IPO is usually ...