data granularity in data warehouse

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Computer Age 7th Journal published "Analysis System of One Network fund settlement of expressway in Guangdong Province Based on star mode of data warehouse", highway map of Guangdong Province

Computer Age 7th Journal published "Analysis System of One Network fund settlement of expressway in Guangdong Province Based on star mode of data warehouse", highway map of Guangdong ProvinceToday, I received the 2015 sample journal from the editorial department of the computer age in 7th. In 2015, the 7th sample journal was published, published my paper ------ "An Analysis System on the settlement of one n

Clear php Data before warehouse receiving. Note that the int value range of php intval is different from that of mysql.

Php saves data to mysqlWe plan to clean up data before warehouse receiving at the dao layer, such as varchar trim and int for intval.One day, I suddenly remembered that the value range of php intval is the same as that of mysql's int type?I checked it. It's different ......Http://php.net/manual/en/function.intval.phpHttp://dev.mysql.com/doc/refman/5.1/zh/column-t

Clean PHP Data before warehouse receiving-note that the int value range of PHP intval is different from that of MySQL

PHP saves data to MySQL We plan to clean up data before warehouse receiving at the DaO layer, such as varchar trim and INT for intval. One day, I suddenly remembered that the value range of PHP intval is the same as that of MySQL's int type? I checked it. It's different ...... Http://php.net/manual/en/function.intval.php Http://dev.mysql.com/doc/refman/

Password bypass in a game warehouse in Kingsoft (directly modify key data)

Password bypass in a game warehouse in Kingsoft (directly modify key data) When resetting the warehouse password, you can directly modify the information without confirmation. Send 49 00 F9 46 00 01 41 00 43 32 53 5F 73 74 73 77 64 00 03 00 00 00 21 00 00 32 30 32 43 42 39 36 32 43 35 30 37 35 42 39 36 42 30 37 31 35 32 44 32 33 34 42 37 30 30 00 04 00 00 33 32

Design method of Intelligent Data Warehouse

and definition, to integrate into the idea of business intelligence, due to the small and medium-sized banks of data sources are not complex and data volume is not very small, can save data warehouse and other supporting software. Three-tier architecture The system is composed of Report Designer, report process desi

Oracle HP release optimized data Warehouse design deployment

July 31, 2006, Oracle and Hewlett-Packard jointly announced that both sides have jointly developed a "reference match" to help it to accelerate the deployment of data warehouses based on HP server and storage platforms, Oracle (r) database 10g software. The development of this set of "reference matching", can help customers from the outset to obtain their required database, server and storage of the best combination of resources. These types of matc

Several standards in the data warehouse

Several standards in the data warehouse 1. Database naming rulesAll Database programmers in a project team should abide by the unified database naming rules ". In appendix B of this book, we provide an "database naming convention" instance for your reference.2. database design paradigmWhen designing relational databases, you must follow certain rules. In particular, the database design paradigm. Next we w

Application of Oracle tablespace in data warehouse ETL

In the data warehouse project, ETL is undoubtedly the most tedious, time-consuming, and unstable. If the data source and target are both Oracle and meet certain conditions, you can use the oracle tablespace to improve ETL efficiency.To use a tablespace, the following conditions must be met:The source and target databases must both be larger than 8i;Ø for versions

Connecting to the Hive Data warehouse via remote JDBC

'/home/centos/customers.txt ' into table t2;//upload to hive table from local file, local is uploading file,Copying tables$mysql >create Table TT as SELECT * from users; Copy tables, carry data and table structure$mysql >create table TT like users; Copy table, carry only table structure, without datahive>create table tt as select * from users;hive>create table tt like users ;hive>select count(*) from users; //这个需要转成mr进行处理,count(*) 查询要转成mr查询hive>s

The practice of data Warehouse based on Hadoop ecosystem--environment construction (II.)

Impala Catalog Server Cdh2 Impala Daemon Cdh1 Cdh3 Cdh4 Impala Statestore Cdh2 Oozie Oozie Server Cdh2 Sqoop 2 Sqoop 2 Server Cdh2 YARN Jobhistory Server Cdh2 NodeManager Cdh1 Cdh3 Cdh4 ResourceManager Cdh2 CDH's official Installation documentation URL address is:Http://www.c

Data Warehouse Applications

Three types of DW application.DW is the basis of these applications.1.Information processingThe information can be processed by means of Querying,basic statiscal analysis,reporting using crosstabs,charts or graphs.2.OLAPThe data can be analysed by means of basic OLAP operations,including Slice,dice,drill down/upn and pivoting.Need to is compared with OLTP.3.DM (Data Mining)By finding the hidden patterns and

Oracle 10g R2 features-Data Warehouse integration features (1)

------------------------------ ---------- P1 8320 P10 8624 P2 12112 P3 11856 P4 8800 P5 7904 P6 8256 P7 8016 P8 8272 P9 7840 PMAX 256 11 rows selected. Use Quick refresh to refresh the materialized view ACC_VIEW. execute dbms_mview.refresh('ACC_VIEW','F') The 'F' parameter indicates a quick refresh. But if the table does not have music video logs, does it work? After refresh, check the segment statistics of ACCOUNTS again. The result is as follows: SUBOBJECT_N

Oracle Data Warehouse Creation Tutorial ____oracle

Oracle Data Warehouse creation tutorial. How to create a data warehouse, create an example, think of graduation design requirements, recently began Oracle's Warehouse modeling practice, detailed records of the graphical interface Oracle database 12C

The practice of data Warehouse based on Hadoop Ecological Circle Learning Notes

Ix. Degradation DimensionsThis section discusses a technique called a degenerate dimension. This technology reduces the number of dimensions and simplifies the dimension Data Warehouse model. Simple patterns are easier to understand than complex and have better query performance. This dimension can be degraded when there is no data required for the

SAP smp-a neglected SAP data warehouse)

SAP smp-a neglected SAP data warehouse (This is the first blog published by Xu Kun.Http://blog.xukun.com/) It is often heard on various occasions, or even complained by customers in person.SAPBefore providingTechnical materialsIt's too tricky.N + nAfter that, I finally thought it would be more appropriate to write it down.J I declare in advance that this article is intendedSAPUsers or partners. F

Service Manger R2 The installation process of the Data Warehouse server

The previous article says Service Manger Management Server deployment process, the following will continue to introduce SCSM R2 another component Data Warehouse server deployment process 1, on the Service Manager installation media, double-click the "Setup.exe" file. 2. On the Service Manager installation media, double-click the "Setup.exe" file. 2. On the Product registration page, type the information

Azure documentation (SQL Data Warehouse, azure SQL database documentation)

Tags: sqlAzure Documentation:https://docs.azure.cn/zh-cn/#pivot =productspanel=databasesSQL Data Warehouse Documentation:https://docs.azure.cn/zh-cn/sql-data-warehouse/Learn how to use SQL Data Warehouse, which combines SQL Server

Vertica: DBMS schema-based Columnstore Data Warehouse

different compression methods, so that the original disk on the large amount of IO overhead and CPU compression work to achieve a better tradeoff. The compression rate is approximately 90%. In addition, Vertica's write data and read data are separated, the read data in a compressed state exists on the disk, the written data

Data Warehouse Establishment Multidimensional database

1. With the production library, data changes are captured through the CDC, and data is saved to the Data warehouse through SSIS, and now it's time to build the cube SSAS for Data statistics analysis.2. After the local environment has built many dimensional datasets, how to p

A revolutionary product in the Sybase IQ Data Warehouse field

the data compression algorithm in the compression than the decompression 4 times times slower. This overhead will significantly reduce the transaction efficiency of the OLTP database engine, making data compression costly and almost unbearable. In Data warehouse applications, dat

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