granularity in data warehouse

Share an example of a real-time data warehouse. The customer is a municipal Tobacco Company and needs to analyze the cigarette sales data in real time. About 0.1 million pieces of data are collected every day, which occurs within four hours. Our solution is: 1. The dimension table information is processed every night (

Infobright is the MySQL three-party dedicated data analysis engine, specifically for more than billion-level data query, and query speed is the MySQL Myisam,innodb 5~60 times, the engine can be said that each field has established a variety of indexes,https://www.infobright.org/Installation and use: http://blog.zyan.cc/infobright/The engine is three-way, there are two versions of the official web, one is th

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

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/

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

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

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

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

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

'/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

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

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

------------------------------ ---------- 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

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 (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

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

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

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

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