etl wikipedia

Import requestsImport reheaders = {' User-agent ': ' mozilla/5.0 (compatible; MSIE 9.0; Windows NT 6.1; Win64; x64; trident/5.0) '}Info_lists = []def judgment_sex (class_name):if class_name = = ' Womenicon ':Return ' woman 'ElseReturn ' Male 'def get_info (URL):res = requests.get (URL)ids = Re.findall (' levels = Re.findall (' Sexs = Re.findall (' Contents = Re.findall (' laughs = Re.findall (' Comments = Re.findall (' For id,level,sex,content,laugh,comment in Zip (ids,levels,sexs,contents,laugh

Assembly Area Preparing data, often also called data management, refers to acquiring data and translating it into information, and ultimately submitting that information to the front-end query interface. The background does not provide query services, the Data Warehouse methodology assumes that data access in the background is strictly forbidden, which is the sole purpose of the foreground. The backend part of the data warehouse is often referred to as the staging area (Stagingarea). Data aggreg

ETL: Abbreviation of extraction-transformation-loading. The Chinese name is data.Extract, convert, and load data. ETL extracts data from distributed and heterogeneous data sources, such as relational data and flat data files, to a temporary middle layer for cleaning, conversion, integration, and finally loading data to a data warehouse or data warehouse.Data mart has become the basis for Online Analytical P

Many people like Wikipedia, but so far we have not been able to find out whichArticleThe most popular, wikirank's appearance makes this desire possible. People familiar with Google Analytics mayProgramIf you are familiar with this, you can get statistics on any topic. In addition, you can also list the most popular topics in the past 24 hours and the theme with the most traffic changes. For example, if you want to compare yourself with Obama, a graph

1. Red-Black Tree description : It is either an empty tree or a two-fork search tree with the following attributes:1) node is not red or black;2) The root node is black;3) All NULL nodes are called the leaf node, and the color is considered black;4) All the nodes of the red node are black;5) All paths from either node to its leaf node contain the same number of black nodes.Insert and delete operation times can be kept to O (log n) times, Figure 1 (this figure from

Gzip-Wikipedia, the free encyclopedia Gzip From Wikipedia, the free encyclopedia Jump to: navigation, search GNU Gzip Developer (s) GNU Project Stable release 1.5(June 17,201 2; 9 months ago(2012-06-17)) [±][1] Written in C Operating System C

, Len (links)-1)].attrs["href"] #print (newarticle)Links =getlinks (newarticle)finally: Cur.close () connection.close () Results Note: Since we will encounter all kinds of characters on Wikipedia, it is best to have the database support Unicode with the following four statements: 　　 　　　　 Alter DatabaseScrapingcharacter Set =UTF8MB4 Collate=Utf8mb4_unicode_ci; Alter TablePagesConvert to character Set =UTF8MB4 Collate=Utf8mb4_unicode_ci; Alt

tree-like array (Fenwick_tree), originally published by Peter M. Fenwick in 1994 with a New Data Structure for cumulative Frequency tables title in software practice and EX Perience. The original intention is to solve the computational problem of cumulative frequency (cumulative Frequency) in data compression, which is now used to calculate the prefix and the number of series efficiently. It can be obtained by the time and also by adding a constant to an item.Basic Operation:1) New;2) Modificati

folder opencc-0.4.2 (link: https://bintray.com/ PACKAGE/FILES/BYVOID/OPENCC/OPENCC).1, first we want to get Wikipedia's Chinese corpus, this file is very large, need to slowly download;is : https://dumps.wikimedia.org/zhwiki//2, through the https://dumps.wikimedia.org/zhwiki/latest/zhwiki-latest-pages-articles.xml.bz2We got the 1.45GB Chinese corpus zhwiki-latest-pages-articles.xml.bz2.3, the content is stored in XML format, so we still need to do the processing (converted to text document)Ther

Data Cleaning[edit] Once processed and organized, the data may be incomplete, contain duplicates, or contain errors. The need for data cleaning would arise from problems in the the-the-same-data is entered and stored. Data cleaning is the process of preventing and correcting these errors. Common tasks include record matching, deduplication, and column segmentation.[4] Such data problems can also be identified through a variety of analytical techniques. For example, with financial information

location of the storage class keyword, the register (or any other storage class keyword) cannot be used in a typedef declaration.4 Platform Development editor typedef has another important purpose, which is to define machine-independent types, for example, you can define a floating-point type called REAL, which can achieve the highest precision on the target machine: typedef long double REAL; on a machine that does not support long double, The typedef looks like this: typedef double real; and,

The Viterbi algorithm can solve the most likely state sequence problem of the Hidden Markov Model. On Wikipedia, a python example is provided for the Viterbi algorithm. The original Article address is as follows: Http://zh.wikipedia.org/wiki/%E7%BB%B4%E7%89%B9%E6%AF%94%E7% AE %97%E6%B3%95 Since we are learning Ruby recently, we have migrated this algorithm from Python to Ruby. the syntax of these two languages is very close, so it is not difficult to

Kaplan-Meier estimatorfrom Wikipedia, the free encyclopediajump to: navigation, search This articleDoes not cite any references or sources. Please help improve this article by adding citations to reliable sources (ideally, usingInline citations). Unsourced material may be challenged and removed.(Rjl 2009) TheKaplan-Meier estimator(Also known asProduct limit Estimator) Estimates the prior Val function from life-time data. in medic

Http://en.wikipedia.org/wiki/Order-independent_transparency Order-independent transparencyfrom Wikipedia, the free encyclopedia the importance of blending order. the top produces an incorrect result with unordered alpha blending, while the bottom correctly sorts the geometry. note lower visibility of the skeletal structure without correct depth ordering. image from ATI Mecha demo Order-independent transparency(OIT) is a class of techniques in rasteri

-Wikipedia data ). Determine whether the node is a suspension node. If the node is a suspension node, create a link to the virtual node. Printgraph( print the established linkgraphto the linkgraph.txt file.2.4 pagerankcalculator class Running. This class mainly includes methods calpagerank (), initpagerankvalue (), iterationforpagerank (), and printpagerank (). The calpagerank () method is the main method of this class. In this method, the initpageran

The data increment extraction mechanism in ETL( Incremental extraction is an important consideration in the implementation of Data Warehouse ETL (extraction,transformation,loading, data extraction, transformation and loading). In ETL process, the efficiency and feasibility of incremental updating is one of the key problems of

Because both of them are used, informatica is easy to manage in the future, especially for data correction. when data is supplemented in the later stage, the data stream is clear at a glance.SQL is efficient, but it is inconvenient to maintain it later. It takes a long time to find a data stream ..ETL tools are easier to manage and maintain, especially complicated cleaning processes. ETL too

ETL technical support work are briefly described. After the Data Warehouse is on-line, the ETL group needs to provide technical support for the normal operation of the ETL work. Typically, this technical support work is divided into four levels. 1. The first level of technical support is typically a phone support person, which is a Technical support services win

ETL design and consideration in Bi Projects ETL is a process of extracting, cleaning, and transforming data from a business system and loading it into a data warehouse. It aims to integrate scattered, disorderly, and standardized data in an enterprise, it provides an analysis basis for enterprise decision-making. ETL is an important part of Bi projects. In bi p

ETL specification Overview 1.1 meaning: ETL is the abbreviation of extract, transform, and load. Data extraction: the process of obtaining the required data from the data source. The Data Extraction Process filters out the source data fields or data records that are not required in the target dataset. Data conversion: based on the data structure of the target table, the fields of one or more source data are