Open Source Data Science Tools

Open source code platforms for large data are becoming popular. 　　In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

The Great Science project is the newest paradigm to advance major science and technology projects by means of engineering, planning, pooling of science and technology resources and power, and it is a revolution in the evolution of scientific research from traditional "handicraft small workshop" to modern Large-scale "workshop". The "Corps combat" of the great scientific paradigm will achieve the breakthrough in the present day and the history with the large-scale of the space and domain dimension, and even beyond the long scale of the time domain dimension. Great science is the cradle of large data, and large data is the product of great science. The way of the King of Science begins with the production of large data. The big data in human history comes from the field of science and technology, precisely from ...

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

Malware analysis, penetration testing, and computer forensics - GitHub hosts a host of compelling security tools that address the real needs of computing environments of all sizes. As the cornerstone of open source development, "all holes are superficial" has become a well-known principle or even a credo. As widely known as Linus's law, the theory that open code can improve the efficiency of project vulnerability detection is also widely accepted by IT professionals when discussing the security benefits of the open source model. Now, with the popularity of GitHub ...

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

Figure http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing in the past has been the patent of data scientists, as the application of data is more and more extensive, large data analysis has become an essential part of the field of data analysis, There is a growing need for easy access to simple graph data analysis tools. Graphlab is a very popular open source project, Graphlab developers are constantly pursuing the innovation and development of graph computing, so that it can cater to a large amount of ...

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 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 ...

The advent of Microsoft's Windows operating system has been nearly 29, during which Windows has always been firmly in control of desktop dominance, but with the recent changes in the industry upstream pattern and the vigorous movement of the "geo-discovery" campaign, 　　Windows is facing a threat from multi-directional pluralism, most of which is a threat from open source forces. Careful people should find that although the Windows operating system still occupies more than 90% pc desktop, but its brand influence is less than in the past;

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.