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Hadoop series hive (data warehouse) installation and configuration1. Install in namenodeCD/root/softTar zxvf apache-hive-0.13.1-bin.tar.gzMv apache-hive-0.13.1-bin/usr/local/hadoop/hive2. Configure environment variables (each node needs to be added)Open/etc/profile# Add the following content:Export hive_home =/usr/local/hadoop/hiveExport Path = $ hive_home/bin: $ path# Environment variables take effectSourc
On the theoretical concept of slowly changing Dimension slowly changing dimension see Data Warehouse Series-Slow slowly changing dimension (slowly changing Dimension) common three types and prototype design
This article summarizes several ways to realize the slow gradual change dimension, and analyzes the logical process of changing attribute and historical attribute output.
Example one: Using the slowly
China's banking industry in the development process, has gradually accumulated a large number of customer data and operating data. How to use these data to discover valuable information is of general concern to China's banking industry today. The key to solve the problem is to set up the bank's enterprise-level data
Chief Technical Officer of--ncrteradata Division StephenbrobstJoerarey, chief consultant, strategic technology and systems company
The most successful data warehouses are progressively developed in a gradual manner, each of which improves the business value of information. In recent years, data warehousing has evolved to support enterprise decisions and even new heights for enterprise partners and customers
Data Warehouse is a subject-oriented (Subject oriented), integrated (integrate), relatively stable (non-volatile), data collection that reflects historical changes (time Variant). Used to support management decisions.The so-called (1) topic-oriented: Index data in the warehouse
insufficient data access capabilities, its access performance to a large amount of data is significantly reduced.
With the maturity of C/S technology and the development of parallel databases, the development trend of information processing technology is from a large number
The transaction database extracts data and clears and converts it to a new storage fo
. With the development and refinement of this process, the special data that supports decision making
Storage is called a data Warehouse (Warehouse, DW).
W. H. Inmon The Data Warehouse is defined as a
Objective: To learn about Data Warehouses(The following is only a personal attempt to learn data warehouses.Is superficialI hope you will be able to provide guidance after reading this article.I will learn more on this basis in the future)
Steps:1. Create a database data table to fill in the data2. Create a data
provided for continuous scan SQL ServerBecause the data is distributed across many physical disks, it helps provide better workload performance as a replacement for a large number of concurrent random I/O operations, and you can add the-e switch when you start SQL Server. When the-e switch is specified at startup, SQL Server can allocate 4 instead of one extents. Thus the-e switch allows SQL Server to provide up to 256 KB of I/O rates even if there a
After the Oracle database has been upgraded to 11 GB recently, some problems have occurred. I began to find some things that need to be summarized. Every time I thought: next time, when I build my own data warehouse, be sure to pay attention to these details and do the work well at the initial stage of warehouse creation.
1. redo log Design1) if it can be put sep
Reprint please the head source link and the tail two-dimensional code together reprint, this article from countercurrent fish yuiop:http://blog.csdn.net/hejjunlin/article/details/52768613Preface: The data of the database is increasing every day, the overall risk of automatic deletion mechanism is too big, want to keep more historical data for query, so it is imperative to change from small hbase to large hb
We recommend that you read and understand the following articles:
◆ Use a partition in a Microsoft SQL Server 2000 data warehouse-http://msdn.microsoft.com/library/default.asp? URL =/library/techart/PartitionsInDW.htm◆ SQL Server 2000 step by step batch import case study-http://www.microsoft.com/technet/prodtechnol/ SQL /2000/maintain/incbulkload.mspx◆ Kimberly L. Tripp: SQL Server 2005 Partition Table and
The topic of today's blog is: parameter linkage solution.
Environment: Data Warehouse + OLAP (cube) + Reporting Service. Effect: multiple parameters (1, 2 ,......) Achieve interaction.
First, let's talk about the principle. A data warehouse consists of fact tables and dimensions. I understand that fact tables are actua
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Database
Data Warehouse
- oriented
Transaction oriented
Theme-oriented design
Storing data
Store online Transaction data
Storing historical da
.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
Data backupDifferential Storage Method:Version fallbackVersion conflictSchematic diagram:Workaround:Three options:1) Rational allocation of project development modulesWangcai: Articles, mails, membersXiaoqiang: Static, cache, foreground2) Reasonable allocation of project development timeWangcai: Morning developmentXiaoqiang: PM Development3) Many people develop a file at the same time, resulting in problems, then you can use the following ways to solv
-makingStorage is called Data Warehouse (DW ).W. H. Inmon defines data warehouse as a topic-oriented and integrated data warehouse that supports management decision-making processes..A topic is the standard for
Compare | Data IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, SAS and other powerful companies have launched their own data warehousing solutions (through acquisitions or research and development). Professional software companies such as Bo and Brio also have a place in the front-end online analytical processing tools market. The following is an analysis and comparison of the performance and characteris
Welcome to the Oracle community forum, and interact with 2 million technical staff to access the data warehouse. different data sources must be obtained from different data sources, in addition, this huge amount of data is converted into available
MySQL big data warehouse receiving (single table) has been studying data warehouse receiving recently. For the INSERT command, a small amount of data can be satisfied, while for a large amount of data to be inserted into the same
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