Cloudera Going Public

In the late 80 and the early 90, an intriguing phrase was widely circulated at home and abroad: we are immersed in the ocean of data, but thirst for the fresh water of knowledge. This sentence vividly depicts people in the face of the vast numbers of confusion and helplessness. Just then, Wal-Mart, the world's business giant, deduced a "beer and diapers story" from its vast trading database. Reveals a pattern of behavior that is hidden in the vast numbers of Americans: Young Fathers aged 25-35 often go to the supermarket to buy diapers for their babies after work, and 30%-40% People ...

This is the second of the Hadoop Best Practice series, and the last one is "10 best practices for Hadoop administrators." Mapruduce development is slightly more complicated for most programmers, and running a wordcount (the Hello Word program in Hadoop) is not only familiar with the Mapruduce model, but also the Linux commands (though there are Cygwin, But it's still a hassle to run mapruduce under windows ...

Guide: Recent American "Wired" magazine author Cade Metz to write a mapr commentary article. He believes MAPR has the necessary elements to develop Hadoop and succeed. The following is the full text m.c. Srivas (MAPR founder) helped build Google search engine, he made Google search engine amazing! If the user enters the "2005 Honda Accord" in the Google search box, Google search will be considerate to know that you are looking for a suitable family class sedan. And not only ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

"Editor's note" OpenStack Paris summit just ended, some participants feel is: the manufacturers look at each other, not many users. Also some people are asking: OpenStack in the end rely on not reliable, have got the case of shot? In this article, Unitedstack founder and CEO Chenghui in the Paris summit, the OpenStack Ecological circle of commercial companies in the inventory. Chenghui said: "OpenStack has been too high expectations of the peak, is experiencing a bubble in the bottom of the valley, for startups, this is the hardest time, this is the most ...

Will the world be destroyed in the 2012? Whether you have a ticket or not, next year there are many new trends in the IT field that deserve attention. 　　The boom in cloud and big data has been unstoppable and will continue to develop, so what kind of destruction and rebirth will happen in the dark waves? 　　Large data rapid growth Hadoop should rise 2011, cloud computing Belt hot Big Data, 2012, big data will fry high Hadoop. 2011 Large Data technology has been standing in the storage area of the gusty waves ...

The panorama covers the infrastructure of the big data artificial intelligence industry, open source frameworks, data APIs, data resources, cross-infrastructure analysis, industrial applications, enterprise applications, analytical tools, etc., covering 1095 big data companies into the panorama.

The Docker has been in use for more than a year and has been installed on both local Linux systems and cloud platforms. At that time learned a lot about managing mirroring, the flexibility to create mirrors for any platform, learn to write some of your own programs that are not relevant to Docker. I've tried to summarize my experience to the following five points, providing references for those who just started using Docker. When making a mirror you need to be particularly clear I try to run my application without the root user. Most Linux distributions have one advantage: when you install a service, the operating system ...

Let's not dwell on how much data a disk can hold or whether it will use Hadoop. 　　The real question about big data is how the business user will use Hadoop, how far our system can go on the intelligent path, and how we're going to make sure it's all under control. Over the past few years, big data technologies have come a long way, from an optimistic and positive buzzword to a difficult illness that people hate, and the focus shifted from sheer data to the pursuit of type and speed. The so-called "big Data" and its related technologies are experiencing ...

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 succeed in an IPO ...