With the development of telecom industry, the competition among telecom operators has become fiercer. In order to win in the competition, the right business strategy becomes the key link of the telecom operator's success. Telecom operators have a large number of user data information, using data mining technology, can be in billing data, business order data, network management data, such as the mass user data found business knowledge, for the market to lay the foundation for precision marketing. With the expansion of China Mobile users and the diverse demands of application targets, data mining applications face new challenges. First of all, the user size is growing, by a large number of users produced a huge amount of data, including ...
CIO: Why is the super [commercial-level RDBMS] system not in sufficient stamina? Didn't we just get a grade? Manager: Yes, but the upgrade was not accepted. CIO: Not accepted? It sounds like a doctor transplanting an organ. Is there a rejection of the CPU? (laughter) Manager: (calmly) No, it's just not accepted by the user. The system is still too slow. CIO: We've been http://www.aliyun.com/zixun/aggregation/11585.html&quo ...
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 ...
(1) The Apache Hadoop version introduces Apache's Open source project development process:--Trunk Branch: New features are developed on the backbone branch (trunk); -Unique branch of feature: Many new features are poorly stabilized or imperfect, and the branch is merged into the backbone branch after the unique specificity of these branches is perfect; --candidate Branch: Split regularly from the backbone branch, General candidate Branch release, the branch will stop updating new features, if the candidate branch has b ...
Today, IBM (NYSE:IBM) in Beijing convened the theme "Big Data crisis big integration attack" IBM ELS Big Data Strategy Media conference, elaborated Els in the big Data age new strategy, is designed to help enterprise users grasp the opportunity brought by large data, to deal with the pressure and challenge of large data to the infrastructure. Enterprise-class Linux server based on host architecture (Enterprise Linux Server), with its high performance, flexible expansion, stable operation, support for heterogeneous environment and other advantages, not only in the key business applications ...
Sadie Online September 19, 2012, IBM in Beijing held the theme of "Big Data crisis big integration attack" IBM ELS large Data Strategy media conference, elaborated Els in the big Data era of the new strategy, designed to help enterprise users grasp the opportunity of large data, Address the pressures and challenges that large data poses to the infrastructure. IBM Systems and Technology Department of mainframe Products general Manager Schdone, IBM Systems and Technology Department of Greater China System Z Technology General Manager Wei Dong, IBM Systems and Technology Department of China Mainframe products emerging market General Manager Tando, IDC help ...
Hadoop version and Biosphere 1. Hadoop version (1) The Apache Hadoop version introduces Apache's Open source project development process: Trunk Branch: New features are developed on the backbone branch (trunk). Unique branch of attribute: Many new features are poorly stabilized or imperfect, and the branch is merged into the backbone branch after the unique specificity of these branches is perfect. Candidate Branch: Periodically split from the backbone branch, the general candidate Branch release, the branch will stop updating new features, if ...
This year, big data has become a topic in many companies. While there is no standard definition to explain what "big Data" is, Hadoop has become the de facto standard for dealing with large data. Almost all large software providers, including IBM, Oracle, SAP, and even Microsoft, use Hadoop. However, when you have decided to use Hadoop to handle large data, the first problem is how to start and what product to choose. You have a variety of options to install a version of Hadoop and achieve large data processing ...
IT industry has different views on cloud computing, it is still one of the hottest IT vocabulary in recent years. What exactly is cloud computing, and how does it help us to focus on enterprise R&D informatization?
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