Use the java date class to generate a data warehouse dimension table
Use the java date class to generate a data warehouse dimension table
Date class:
Returns the number of milliseconds of a relative date. Accurate to milliseconds, but does not support date internationalization and Time Zone display. The Date class evol
Generating a Data Warehouse dimension table using the Java date classDate class:The most basic date-time class that returns the number of milliseconds for a relative date. Accurate to milliseconds, but does not support the internationalization and sub-timezone display of dates. The date class began to evolve from the Java Development Package (JDK) 1.0, when it contained only a few methods of acquiring or se
Tags: scheduling filter mapping Data Warehouse Oracle proc Graphics Component RPDObieeRPD: Define the subject angle of the different analysis, determine the corresponding fact table and dimension tableReport Surface: Select the required dimensions and measures, select the desired data according to the filterVisualize: Display
Oracle learning Data Warehouse (I) Import Oracle 11g Global samples schemaOracle 11g provides an example schema for the Data Warehouse. You can download the sample installation file through the following link. The http://www.oracle.com/technology/products/bi/olap/doc_sample_schemas/global_11g_schema.zip uploads the dow
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
.Data is duplicated into a dimension model for easy creationOLAP. Currently, OLAP modeling tools are powerful enough, and explicit dimensions and fact table definitions are not required in relational data;
For the above three reasons, only2 can be established. Therefore, the data warehouse is now under question. The
coordination jobsHDFs dfs-put-f coordinator.xml/user/root/(4) Run the coordination jobOozie Job-oozie Http://cdh2:11000/oozie-config/root/job-coord.properties-runFrom the Oozie Web console, you can see the coordinated jobs ready to run, with the status of Prep as shown in.This coordination job starts on July 11, 2016 and executes 14 points per day. The end date is very late, which is set for December 31, 2020. Be aware of the time zone settings. Oozie The default time zone is UTC and does not w
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/
Based on the Informix Data Warehouse system implementation methodology, we can divide the implementation of the data warehouse into the following steps:
1. Business Needs analysis
Business requirements analysis is the basis of data war
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
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
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
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