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Hadoop streaming is a multi-language programming tool provided by Hadoop that allows users to write mapper and reducer processing text data using their own programming languages such as Python, PHP, or C #. Hadoop streaming has some configuration parameters that can be used to support the processing of multiple-field text data and participate in the introduction and programming of Hadoop streaming, which can be referenced in my article: "Hadoop streaming programming instance". However, with the H ...

I. Introduction We often see some similar in the program disassembled code 0 × 32118965 this address, the operating system called linear address, or virtual address. What is the use of virtual address? Virtual address is how to translate into physical memory address? This chapter will give a brief account of this. 1.1 Linux Memory Addressing Overview Modern operating systems are in 32-bit protected mode. Each process can generally address 4G of physical space. But our physical memory is generally hundreds of M, the process can get 4 ...

This article is my second time reading Hadoop 0.20.2 notes, encountered many problems in the reading process, and ultimately through a variety of ways to solve most of the. 　　Hadoop the whole system is well designed, the source code is worth learning distributed students read, will be all notes one by one post, hope to facilitate reading Hadoop source code, less detours. 1 serialization core Technology The objectwritable in 0.20.2 version Hadoop supports the following types of data format serialization: Data type examples say ...

Here is a translation of the Redis Official document "A fifteen minute introduction to Redis data Types", as the title says, The purpose of this article is to allow a beginner to have an understanding of the Redis data structure through 15 minutes of simple learning. Redis is a kind of "key/value" type data distributed NoSQL database system, characterized by high-performance, persistent storage, to adapt to high concurrent application scenarios. It started late, developed rapidly, has been many ...

Some tasks are more complicated to code directly. We can't handle all the nuances and simple coding. Therefore, machine learning is necessary. Instead, we provide a large amount of data to machine learning algorithms, allowing the algorithm to continuously explore the data and build models to solve the problem.

There are quite a lot of routines for machine learning, but if you have the right path and method, you still have a lot to follow. Here I recommend this blog from SAS's Li Hui, which explains how to choose machine learning.

The blockchain is a big hit at the moment, and the news media has reported a lot, claiming that it will create the future.

There are many articles on machine learning algorithms that detail the related algorithms, it is still very difficult to make the most appropriate choices.

With the extensive deployment of multi-core systems, clusters, grids and even cloud computing in recent years, virtualization technology has become more and more advantageous in business applications, not only reducing it costs, but also enhancing system security and reliability, and the concept of virtualization has gradually deepened into people's daily work and life. Aiming at the x86 platform, this paper first gives the basic concept and classification of virtualization technology, then expounds the realization principle and challenge of pure software virtualization, and finally introduces ...

From an article in the Openmymind blog, the author introduces two MongoDB monitoring gadgets, Mongospy and Mongowatch, which they write with Node.js, and then puts forward the idea of using compression to save space when storing text in MongoDB. These two gadgets are not very powerful and simple to implement, and if you can manipulate MongoDB in any language, believe you can write a similar thing. Mongospy: A MongoDB slow query to monitor ...