data analysis using sql and excel 2nd edition

Discover data analysis using sql and excel 2nd edition, include the articles, news, trends, analysis and practical advice about data analysis using sql and excel 2nd edition on alibabacloud.com

Using partitions in the Microsoft SQL Server 2000 Data Warehouse

Overview This article discusses the role of data partitioning in data warehouses. Relational data warehouses and Analysis Services cubes support data partitioning. The logical concept of partitioning is the same in the two engines of Microsoft®

Memory bottleneck analysis for SQL Server data page buffers _mssql

SQL Server caches frequently used data in memory (that is, the data page cache) to increase the speed of data access. Because disk access is much slower than memory, reducing disk traffic is also an important aspect of database optimization. When there is not enough memory in the

Data analysis using Python (i) Brief introduction

performance to the greatest extent possible, using a lower-level, low-productivity language like C + + is worth it.Python is not an ideal programming language for highly concurrent, multi-threaded applications, because Python has a thing called the GIL (Global Interpreter Lock), which is a mechanism that prevents the interpreter from executing multiple Python bytecode instructions at the same time. This is not to say that Python cannot execute real m

Use Association Rules of SQL Server Analysis Services data mining to implement commodity recommendation function (2)

If you have a shopping website, how do you recommend products to your customers? This function is available on many e-commerce websites. You can easily build similar functions through the data mining feature of SQL Server Analysis Services. It is divided into three parts to demonstrate how to implement this function. 1. Build a Mining Model 2. Compile service in

A detailed explanation of Spark's data analysis engine: Spark SQL

Tags: save overwrite worker ASE body compatible form result printWelcome to the big Data and AI technical articles released by the public number: Qing Research Academy, where you can learn the night white (author's pen name) carefully organized notes, let us make a little progress every day, so that excellent become a habit!One, spark SQL: Similar to Hive, is a data

Ck2255-to the world of the big Data Spark SQL with the log analysis of MU class network

Ck2255-to the world of the big Data Spark SQL with the log analysis of MU class networkThe beginning of the new year, learning to be early, drip records, learning is progress!Essay background: In a lot of times, many of the early friends will ask me: I am from other languages transferred to the development of the program, there are some basic information to learn

Analysis of data transfer process using TCP/IP Reference Model

during the transfer (except NAT). First, we need to know that the MAC address is used for communication between devices on the same physical or logical layer 2nd network, whereas a third-tier address (IP address) can communicate between multiple network devices.MAC address is valid in the same broadcast domain, then go to another broadcast domain (network segment) MAC address must be changed; The MAC address of the

Python Learning (iii) data analysis using Python (1)---preparation

Learning a language is a constant practice, Python is currently used for data analysis of the most popular language, I recently bought a book "Data analysis Using Python" (Wes McKinney), but also to the library to borrow this "Python Dat

Use Association Rules of SQL Server Analysis Services data mining to implement commodity recommendation function (7)

If you have a shopping website, how do you recommend products to your customers? This function is available on many e-commerce websites. You can easily build similar functions through the data mining feature of SQL Server Analysis Services. The previous article describes how to use DMX to create a mining model. This article describes how to create a mining model

Data Analysis---SQL (Access database)

of extraction, number of bits extracted) 2) Example: Extracting Province code, county code, date of birth from the ID number SELECT ID number, left (identity number, 2) as province code, Mid (identity number, 7,4) as year, Mid (identity number, 11,2) as month, Mid (identity number, 13,2) as day, Mid (identity number, 17,1) as gender from user details; 5. Random sampling: A method of extracting samples according to the stochastic principle Example: Randomly extracting 20 records SELECT TOP 20 *

Analysis on memory usage of querying MySQL massive data using PHP

mysql_unbuffered_query (string query [, int link_identifier])Sends an SQL query to MySQL, without fetching and buffering the result rows */PHP_FUNCTION (mysql_unbuffered_query){Php_mysql_do_query (INTERNAL_FUNCTION_PARAM_PASSTHRU, MYSQL_USE_RESULT );}/*}}}*/ Both functions call php_mysql_do_query (), but the difference is only 2nd. MYSQL_STORE_RESULT and MYSQL_USE_RESULT. Then, let's look at the imp

Learning: Using partitions in the SQL Server 2000 Data Warehouse

populate a service profiling cube may adopt a partitioned structure that differs from the data warehouse that is queried directly by the analyst. Systems with scrolling windows must be partitioned by time, while other systems are not necessarily. If the data warehouse includes the profiling services cube, Microsoft recommends that the partitions in the relational data

"Data analysis using Python" reading notes--fifth Chapter pandas Introduction

行一次测试frame4 = DataFrame ([[ Columns=[' A ', ' B ']) frame4.index.names = [' C ', ' d ']print frame4print frame4.reset_index (). Sort_index (axis = 1)Other topics related to pandas#-*-encoding:utf-8-*-import numpy as Npimport Osimport pandas as Pdfrom pandas import Series,dataframeimport matplotlib. Pyplot as Pltimport Pandas.io.data as web# here are some egg-ache problems: integer index and integer tag ser = Series (Np.arange (3.)) #print Ser[-1] #报错 because the ambiguity of the integer index

Analysis on memory usage of querying MySQL massive data using PHP

This article mainly describes the memory usage when MySQL returns a large number of results in PHP based on principles, manuals, and source code analysis. it also involves the use of MySQLCAPI. yesterday, a colleague mentioned in the PHP discussion group that a project he created had too many results (up to 0.1 million results) returned by MySQL queries, resulting in insufficient PHP memory. therefore, he asked, "> This article mainly describes the me

Analysis of Gene Chip data using R and biocondu( IV): Chip Normalization

Next article: using R and biocondufor gene chip data analysis (3): computing Median Normalization is translated from normalization. The purpose of normalization is to make measurements under various/group measurements or under various experimental conditions can be compared with each other to eliminate non-experimental differences between measurements. Non-expe

Analysis of memory usage when querying massive MySQL data using PHP _ PHP Tutorial

*/PHP_FUNCTION (mysql_query){Php_mysql_do_query (INTERNAL_FUNCTION_PARAM_PASSTHRU, MYSQL_STORE_RESULT );}/*}}}*//* {Proto resource mysql_unbuffered_query (string query [, int link_identifier])Sends an SQL query to MySQL, without fetching and buffering the result rows */PHP_FUNCTION (mysql_unbuffered_query){Php_mysql_do_query (INTERNAL_FUNCTION_PARAM_PASSTHRU, MYSQL_USE_RESULT );}/*}}}*/ Both functions call php_mysql_do_query (), but the difference i

Using SQL to play Data mining Madlib (i)--Installation

as the Greenplum database and HAWQ.    The maintenance activities performed are open to the Apache community and ongoing academic research.    If you only summarize the features of Madlib in one sentence, as described in the title, you can use SQL to play data analysis, data mining, and machine learning.    2. Feature

Analysis of memory usage when querying massive MySQL data using PHP _ PHP-php Tutorial

); } /*}}}*/ /* {Proto resource mysql_unbuffered_query (string query [, int link_identifier]) Sends an SQL query to MySQL, without fetching and buffering the result rows */ PHP_FUNCTION (mysql_unbuffered_query) { Php_mysql_do_query (INTERNAL_FUNCTION_PARAM_PASSTHRU, MYSQL_USE_RESULT ); } /*}}}*/ Both functions call php_mysql_do_query (), but the difference is only 2nd. MYSQL_STORE_RESULT and MYSQL_USE_RE

A brief analysis of importing SHP into Oracle and using GeoServer to publish the imported data

: [Geoserver_home]/server/geoserver/web-inf/lib; if it is a free installation version, put the Gt-jdbc-oracle.jar into: in a War install this is [container]/webapps/geoserver/web-inf/libB. If it is the installation version, put Ojdbc.jar into: [Geoserver_home]/lib; my own is put in: F:\tomcat4Geoserver\lib. If the file is placed in a wrong path, Oracle will not be able to connect.2. Import shp into Oracle2.1 concrete steps 2.1.1 Command line point to SHP file to import2.1.2

How to import data to oracle database using SQL * loader, loaderoracle

How to import data to oracle database using SQL * loader, loaderoracle When you need to import massive data into the database, the efficiency of using the graphical interface tool is very low. Here we will briefly introduce how to import the database

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