Technical Articles

& http: //www.aliyun.com/zixun/aggregation/37954.html "> You've been thinking about refactoring a very old module, but you're just nibbling at it. Weird functions and classes Naming, documenting, etc. The whole module is like a poor ragged man with a toe strap, but it feels uncomfortable to walk in. In the face of this situation, as a true programmer, he will never admit defeat , They will accept the challenge, carefully analyze, even heavy ...

If I am a client myself, it is imperative to have a brand new to the site's sales force, and to be effective when it comes to the brand. I have set a working arrangement, that is, every day you come to apologize, thoughtless male business manager eliminated, ugly woman business manager also eliminated, I hope your brain every day for my consideration. - profiteers is right? Your client is such an outrageous profiteer! Website operators do, all the time must remember: Who is the money who is the uncle, this is wrong, the rules are platform ...

Spark can read and write data directly to HDFS and also supports Spark on YARN. Spark runs in the same cluster as MapReduce, shares storage resources and calculations, borrows Hive from the data warehouse Shark implementation, and is almost completely compatible with Hive. Spark's core concepts 1, Resilient Distributed Dataset (RDD) flexible distribution data set RDD is ...

Preface Having been in contact with Hadoop for two years, I encountered a lot of problems during that time, including both classic NameNode and JobTracker memory overflow problems, as well as HDFS small file storage issues, both task scheduling and MapReduce performance issues. Some problems are Hadoop's own shortcomings (short board), while others are not used properly. In the process of solving the problem, sometimes need to turn the source code, and sometimes to colleagues, friends, encounter ...

Analysts and IT managers at Hadoop World told how important Hadoop is for the business. According to Kobielus, an analyst at Forrester Research, "Hadoop is a new type of data warehouse and a new source of data within the organization." Hadoop's advantage over traditional relational databases is its ability to store and manage more structured and unstructured data. Today's big data era, in order to open up customers, enhance industry ...

"http://www.aliyun.com/zixun/aggregation/37954.html" Spark is a distributed data rapid analysis project developed by the University of California, Berkeley AMP Its core technology is flexible Distributed data sets (Resilient distributed datasets), provides a richer than Hadoop MapR ...

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 ...

First, the Hadoop project profile 1. Hadoop is what Hadoop is a distributed data storage and computing platform for large data. Author: Doug Cutting; Lucene, Nutch. Inspired by three Google papers 2. Hadoop core project HDFS: Hadoop Distributed File System Distributed File System MapReduce: Parallel Computing Framework 3. Hadoop Architecture 3.1 HDFS Architecture (1) Master ...

Top 10 Reasons You Need Spark: 1. Spark is the only current replacement for revolutionary Hadoop that does everything Hadoop does and is more than 100 times faster than Hadoop: Logistic regression in Hadoop and Spark can be seen in areas where Spark is particularly good at 120 times faster than Hadoop! 2, the original support for Hadoop's four major business organizations have announced support for Spark, including the well-known Hadoop solutions ...

& nbsp; Yahoo! researchers completed a Jim Gray benchmark sort using Hadoop, which contains many related benchmarks, each benchmarking its own rules All sort baselines are made by measuring the sorting time of different records, each record is 100 bytes, of which the first 10 bytes are the keys, and the rest are ...

Facebook, a world-renowned social networking site, has more than 300 million active users, of which about 30 million users update their status at least once a day; users upload a total of more than 1 billion photos and 10 million videos a month; Week to share 1 billion content, including journals, links, news, Weibo and so on. Therefore, the amount of data that Facebook needs to store and process is huge. Everyday, 4TB of compressed data is added, 135TB of data is scanned, and more than 7,500 Hive tasks are performed on the cluster.

& Hadoop diary Day2 --- build a development environment First, Hadoop configuration software (my computer is Windows7 flagship - 64bit) 1. VMWare dedicated CentOS mirror (Centos is a Linux operating system) 2. VM ...

Foreword To technology, I still have awe. Hadoop Overview Hadoop is an open source distributed cloud computing platform based on Map / Reduce model, offline data processing tools. Based on Java development, built on HDFS, first proposed by Google, interested students from the Google troika: GFS, mapreduce, B ...

HDFS Overview & http://www.aliyun.com/zixun/aggregation/37954.html "HDFS is fault tolerant and is designed to be deployed in low-cost hardware And it provides high throughput to access application data for those with large data sets (...

Over the past few years, we have been devoted to refactoring Digg's architecture, which we now call "Digg V4." In this article we will give you an overview of Digg's systems and technologies. Find the secret of the Digg engine. First of all, let's take a look at the services that Digg provides to mass users: A social news site is a customizable social news advertising platform. API services Blog and documentation sites People use browsers or other applications to ...

& Http://www.aliyun.com/zixun/aggregation/37954.html "> HFS (Hadoop Distributed File System) is a core sub-project of the Hadoop project, is the basis for data storage management in distributed computing, to be honest HDFS Is a good distributed file system, it has many advantages, but there are also some shortcomings, including: not suitable for low-latency data ...

TA (Tencent Analytics), a free website analysis system for third-party webmasters, is highly praised by webmasters for data stability and timeliness, and its second-level real-time data update frequency is also recognized by the industry. This article will take you in-depth exploration of TA system architecture and implementation principles from many aspects of real-time data processing, data storage and so on. Web Analytics (Web Analytics) mainly refers to the site-based ...

Awareness of the entire http://www.aliyun.com/zixun/aggregation/11116.html "> Site map is as follows: Know almost is a very few websites developed using Python, but also a lot of places we learn, From Knowing so that we can also understand some of the new WEB technology. First, the Python framework Knowing the current use of the Tornado framework. Tornado full name Tornado Web Ser ...

HBase is a distributed, column-oriented, open source database based on Google's article "Bigtable: A Distributed Storage System for Structured Data" by Fay Chang. Just as Bigtable takes advantage of the distributed data storage provided by Google's File System, HBase provides Bigtable-like capabilities over Hadoop. HBase Implements Bigtable Papers on Columns ...

REVIEW: With open source programming tools, you can easily learn, modify, and improve the quality of your code based on open source licenses. This article collected 11 of the most popular and valuable open source programming tools. May give you a little surprise. Let's see it together NO.1 Rhomobile Rhodes Ruby may be the second most popular language on Github, if you want to use it to develop the iPhone may not be for you ...