Python Format Examples

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Writing distributed programs with Python + Hadoop (i): Introduction to Principles

A brief introduction to MapReduce and HDFs what is Hadoop?     &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; Google has proposed a programming model for its business needs mapreduce and Distributed File system Google file systems, and published related papers (available in Google Research ...).

Writing distributed programs with Python + Hadoop

What is Hadoop? Google proposes a programming model for its business needs MapReduce and Distributed file systems Google File system, and publishes relevant papers (available on Google Research's web site: GFS, MapReduce). Doug Cutting and Mike Cafarella made their own implementation of these two papers when developing search engine Nutch, the MapReduce and HDFs of the same name ...

Managing property access using the Python descriptor

Python 2.2 introduced the Python descriptor and introduced some new style classes, but they were not widely used. The Python descriptor is a way to create managed properties. In addition to other benefits, managed properties are used to protect properties from modification, or to http://www.aliyun.com/zixun/aggregation/18862.html "> Automatically update the value of a dependent property." Descriptor added to the understanding of Python, improved ...

Using Hadoop streaming to process binary format files

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 ...

MapReduce Principles and Examples in Hadoop

Hadoop MapReduce is a programming model for data processing that is simple but powerful enough to be designed for parallel processing of big data.

Data Science in cloud Ipython and pandas investment analysis

This article will introduce some practical examples using IPython and pandas for investment analysis and http://www.aliyun.com/zixun/aggregation/10341.html "> Statistical analysis." Let's do a common analysis and you may be able to do it yourself. If you want to analyze stock performance, you can: find a stock in the Yahoo financial zone. Download historical data and save it in CSV file format. Will be CSV ...

Message Queuing based on HBase: HQueue

1. HQueue profile HQueue is a set of distributed, persistent message queues developed by hbase based on the search web crawl offline Systems team. It uses htable to store message data, HBase coprocessor to store the original keyvalue data in the message data format, and encapsulates the HBase client API for message access based on the HQueue client API. HQueue can be effectively used in the need to store time series data, as MAPR ...

Open source Graphlab Breakthrough human Graph Computing "limit value"

Graph data processing in the past has been the patent of data scientists, as the application of data has become more and more widely used, graph analysis becomes an essential part of the field of data analysis, people increasingly need to be easy to use, 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 meet the requirements of mass data processing. Sframe's debut appears low-key and mysterious, but its function is not to be underestimated, it extends the graphlab to the table so that it can easily manage TB series ...

Easy to handle terabytes of data, open source Graphlab breakthrough human Graph Computing "limit value"

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 ...

Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

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