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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 creati
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:
------------------------------ ---------- 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. 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
Introduction to ETL technology: Introduction to ETL, data warehouse, and etl Data WarehouseETL is the abbreviation of Extract-Transform-Load. It is used to describe the process of extracting, transforming, and loading data from the source to the target. ETL is commonly used in data
Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction,
(Chinese)Training materials for business objectsHow to shield the menu of BO WebICan BO implement associated reports?Bo InformationExample of crystal easy table-- HyperionHyperionBrio83 learning materials User Manual------------Epochs series (5) --- build rule file---Company Data System (7) --- Storage mechanisms Underneath-- BIEEOracle by Example-Oracle Business Intelligence Enterprise EditionUse
has implemented Probable Cost of Ownership for Data Warehouses over five years? (PCO) lower than Oracle and NCR Teradata.
Foreseeable scalability and unlimited scalability are the key criteria of the Business Intelligence platform. DB2 meets this requirement through its unique shared-nothing architecture. Scalability is applicable to both large and small databases.
Scalability and price are important, but
Compare | data
Comparison of the characteristics of nine large data warehouse schemes
China Institute of Electronic Equipment Systems Engineering Wang Jiannu Lidompo
Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own dat
complexity, and real-time requirements of the Data Warehouse. Currently, SQL Sserver 2005 is significantly enhanced in business intelligence. In the middle end, you can consider the Oracle DW solution. The performance of Sybase IQ is good when the data volume is not very large. If you want to create a super-large DW,
What are the data warehousing solution software available for selection in the market? What difference does it have? Can you analyze and compare their performance and characteristics?
Powerful companies such as IBM, Oracle, Sybase, CA, NCR, Informix, Microsoft, and SAS have launched their own data warehousing solutions (through acquisitions or research and devel
provides unified standards for multiple application data sources of enterprises.
The model design requires the company's information staff to work closely with the business staff to plan an application model that has practical value for the company. This model must be intelligent, the ability to constantly adjust its own parameters based on the actual business development, and ultimately find the rules in the enterprise's operation process, so as t
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
, we will "boil" a data warehouse together.
WarehouseBytesC ā ng(Pictogram. The Oracle font is like a Geer, and the middle is like a door. below is the entrance and exit, which together represents the concept of a warehouse. Meaning: granary)Same as the original [granary; barn]
processing, and data loading. To implement these functions, various ETL tools generally expand functions, such as workflows, scheduling engines, rule engines, script support, and statistics.
3. Mainstream ETL tools
There are two types of ETL tools from the vendor perspective. One is the ETL tools provided by the database vendor, such as Oracle warehouse
[CSDN report] Some time ago, an article was published on Gigaom: whatunbelievablenewservicesdoesAmazonhaveontap? Now we know at least one of them, Amazon's incredible new service, Redshift data warehouse service, points to Oracle, IBM, and Teradata.
[CSDN report] Some time ago, an article on Gigaom was published: what unbelievable new services does Amazon have on
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 convert
.
References:
[1] Ma genfeng · Application of Transaction Management in the universal database query analyzer in Oracle · Shanghai: Microcomputer Application 2008.4
[2] Special Recommendations for new products and tools: "universal database query analyzer" released by programmers, 2007.2
[3] Application of Transaction Management in database QueryAnalyzer to DB2 · Beijing: computer programming skills and maintenance 2011.22
[4] Ma genfeng-database q
Number of materialized views synchronized 1. The purpose is to synchronize some data in the production database to the Data Warehouse. Considering the cost and convenience, the method of regularly refreshing the Materialized View
Number of materialized views synchronized 1. The purpose is to synchronize some data in th
Etl,extraction-transformation-loading abbreviations, Chinese names are data extraction, conversion, and loading.
Most warehouse-based data architectures can be summarized as:
Data source-->ods (operational datastore)-->DW-->DM (data mart)
ETL throughout its various links.
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