Python Big Data Projects

This article, formerly known as "Don t use Hadoop when your data isn ' t", came from Chris Stucchio, a researcher with years of experience, and a postdoctoral fellow at the Crown Institute of New York University, who worked as a high-frequency trading platform, and as CTO of a start-up company, More accustomed to call themselves a statistical scholar.   　　By the right, he is now starting his own business, providing data analysis, recommended optimization consulting services, his mail is: stucchio@gmail.com. "You ...

As other manufacturers have focused more on "How to use big data for industrial transformation and corporate Innovation", Microsoft has begun to show how to use the right technology and tools so that everyone in the general public can intuitively gain insights from big data. October 18, Microsoft Global Senior Vice President, He Lebin, chairman and chief executive of Greater China, told reporters on "Big data media day" that "unlike the way other companies handle big data, Microsoft advocates thinking about the use of large data in three ways, from discovering data, analyzing data, and visualizing data." Microsoft Big Data Vision ...

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

The 1 Big data and cloud computing coin's positive and negative "big data also needs cloud computing this platform, this is a coin's positive and negative." Aliyun President Wang Wenbin (nickname: the Philippines) and the media, said. The IT industry has changed dramatically over the years, until now people are still talking about cloud computing. The cloud concept emerged, the industry has been the voice of doubt, with the efforts of the major cloud service providers, now all walks of life have begun to accept cloud computing services. July 2014, Aliyun ODPs Project was officially opened to the outside. &n ...

According to Google trends, "big data" is rarely used as a search term in 2011, but since the beginning of 2012, you can almost hear people in all walks of life talking about "big data". This is a very fast growing area, and it has spawned a lot of jobs. A McKinsey report predicts that by 2018 only the United States will have a gap between 140,000 and 180,000 people in the "in-depth analysis" of large data professionals. According to the new Vantage company, "Fortune" of the United States 5 ...

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 ....

Cassandra and HBase are the representatives of many open source projects based on bigtable technology that are implementing high scalability, flexibility, distributed, and wide-column data storage in different ways. In this new area of big data [note], the BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data. If you know this very well, your family is familiar with the two of Cassandra and HBase.

The year of "Big Data" for cloud computing, a major event for Amazon, Google, Heroku, IBM and Microsoft, has been widely publicized as a big story. However, in public cloud computing, which provider offers the most complete Apache Hadoop implementation, it is not really widely known. With the platform as a service (PaaS) cloud computing model as the enterprise's Data Warehouse application solution by more and more enterprises to adopt, Apache Hadoop and HDFs, mapr ...

In the new field of Big data, BigTable database technology is well worth our attention because it was invented by Google, and Google is a well-established company that specializes in managing massive amounts of data. 　　If you know this well, your family is familiar with the two Apache database projects of Cassandra and HBase. Google first bigtable in a 2006 study. Interestingly, the report did not use BigTable as a database technology, but ...

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...