tableau olap

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Business Intelligence (BI)

Tags: Io OS ar SP file data on BS amp Bi stands for business inteligence. This helps enterprises use data more effectively and provide business decision-making support. It allows decision-making managers to obtain key information anytime and anywhere. Based on Digital decision-making, the decision-making level is improved. It includes data reports (traditional data reports and core data reports), OLAP (online link analysis), and data mining. It is a

Simple Test of expdp and impdp

the expdp tool is used, its dump file can only be stored in the OS directory corresponding to the directory object, rather than directly specifying the OS directory where the dump file is located. therefore, when using the expdp tool, you must first createDirectory object. You must grant the permission to use directory objects to database users.============================================ Export/ import table ============================================1. Log On As sys, create directories, and

Several test notes for wallet encryption in Oracle

Database 11g Enterprise Edition release 11.2.0.4.0-64bit ProductionWith the partitioning, OLAP, Data Mining and real application testing optionsSql> select * from V$encryption_wallet;Wrl_type--------------------Wrl_parameter--------------------------------------------------------------------------------STATUS------------------File/home/u01/oracle/network/walletsOPENsql> shutdown immediate;Database closed.Database dismounted.ORACLE instance shut down.

Detailed Mysql performance optimization (i) _mysql

get an approximate direction to the OLTP. Although the system overall data volume is large, but the system active data in the total amount of data accounted for a small proportion, then we can expand the memory capacity to as much as possible to cache the active data into memory; Although IO access is very frequent, but the amount of data per visit is small and very discrete, then our requirements for disk storage is IOPS performance is good, throughput is a secondary factor; Concurrency is

Problems with migrating Oracle DB after 32-bit processor upgrade to 64-bit

statement sql> @ $ORACLE _home/rdbms/admin/utlrp.sql If the statement fails to execute, execute the following statement sequentially $ cd/u01/app/oracle/product/102/db_1/olap/admin/ Sql> @?/olap/admin/catnoamd.sql Sql> @?/olap/admin/catnoaps.sql Sql> @?/olap/admin/catnoxoq.sql Sql> @?/

How to build a metadata bridge for DB2 cube views

DB2 's DB2 cube views feature makes it easier to integrate business intelligence applications with data warehouses by sharing multidimensional metadata between relational databases and business intelligence applications. Learn how to enable business intelligence applications or tools to take advantage of this powerful new feature. This article applies to the object This article is intended for technical managers and technicians who want to develop or integrate

Database performance Optimization

small. For these characteristics and analysis, we can get an approximate direction of the OLTP. Although the overall data volume of the system is large, but the proportion of the system active data in the total data is small, we can enlarge the memory capacity to cache the active data in memory as much as possible; Although IO access is very frequent, but the amount of data accessed per visit is small and discrete, our requirement for disk storage is that IOPS perform well and throughput is a s

MySQL Performance optimization Summary

, we can get an approximate direction of the OLTP. Although the overall data volume of the system is large, but the proportion of the system active data in the total data is small, we can enlarge the memory capacity to cache the active data in memory as much as possible; Although IO access is very frequent, but the amount of data accessed per visit is small and discrete, our requirement for disk storage is that IOPS perform well and throughput is a secondary factor; Concurrency is very high, CPU

Oracle 12c column storage (in memory theory)

Tags: ODI partial user process modification supports storage elementsWith Oracle 12c introducing the in memory component, the Oracle database has dual-mode data storage that enables support for mixed-type applications: traditional, row-saving data meets OLTP applications, and data stored in columns satisfies OLAP applications that are primarily queried. The in memory component can be used with other database component functions, and does not require t

Oracle public redo thread and private redo thread

Online online node2 ora.node2.gsd application 0/5 0/0 ONLINE Online node2 ora.node2.ons application 0/3 0/0 online online node2 ora.node2.vip applic ation 0/0 0/0 Online online node2 [[emailprotected] ~]$ [[emailprotected] ~]$ sqlplus/a S sysdbasql*plus:release 10.2.0.5.0-production on Sat 17:47:08 2014Copyright (c) 1982, Oracle. All rights reserved.connected to:oracle Database 10g Enterprise Edition Release 10.2.0.5.0-64bit productionwith the part Itioning, real application Clusters,

MySQL Performance optimization Summary

the system active data in the total data is small, we can enlarge the memory capacity to cache the active data in memory as much as possible; Although IO access is very frequent, but the amount of data accessed per visit is small and discrete, our requirement for disk storage is that IOPS perform well and throughput is a secondary factor; Concurrency is very high, CPU per second to deal with a lot of requests, so CPU processing power needs to be relatively strong; Although the amount of data pe

Use expdp/impdp to import data from one database to another

May 15 15:20:58 2013 Copyright (c) 1982,201 0, Oracle. all rights reserved. connected to: Oracle Database 11g Enterprise Edition Release 11.2.0.2.0-64bit Production With the Partitioning, OLAP, data Mining and Real Application Testing options SQL> create directory test_dir as '/home/orauat/zzj'; Directory created. SQL> Grant read, write on directory test_dir to cux; Grant succeeded. SQL> exit Disconnected from Oracle Database 11g Enterprise Edition R

Some basic concepts of data warehouse and data mining

The following content is taken from the Internet and sorted out. Terms: Bi (Business Intelligence): Business Intelligence, DW (data warehouse): Data Warehouse. For details, see section Q1. OLTP (on-line transaction processing): Online Transaction Processing It is also known as a transaction-oriented processing system. Its basic feature is that the customer's raw data can be immediately transmitted to the Computing Center for processing and the processing results can be given in a very short t

Oracle architecture and backup (17th) -- BG-others

-productionwith the partitioning, OLAP and Data Mining optionssql> select log_mode from V $ database; log_mode ----- ------- Noarchivelogsql> shutdown immediate; database closed. database dismounted. oracle instance shut down. SQL> startup mountoracle instance started. total system global area 838860800 bytesfixed size 1222192 bytesvariable size 788531664 bytesdatabase buffers 46137344 bytesredo buffers 2969600 bytesdatabase mounted. SQL> alter databa

What is data warehouse-basic concept of Data Warehouse

for management personnel. Data Warehouse is mainly used in decision support systems. Its main purpose is to "extract" Information and expand it to process the application of the data warehouse-based decision support system (DSS. 2 The Data warehouse-based decision support system (DSS) is composed of three components: Data warehousing and OLAP, on-Line Analytical Pro-cessing), Data Mining technology (Data Mining ).

Introduction to Mondrian MDX and mondrianmdx

Introduction to Mondrian MDX and mondrianmdx Introduction to Mondrian MDX MDX (multidimen1_expression) is the language used to construct and query OLAP databases, just as SQL is used to build and operate relational databases. MDX was the first developed by Microsoft and is part of the 1997 system ole db for OLAP (ODBO). Mosha Pasumansky is one of the MDX Language designers. MDX is soon implemented by oth

SSAs-Impact of role settings on xmla

Roles Before discussing how the newly created role affects the xmla code of the oalkaline database, let's briefly describe the role in SSAs. The following is a role editing interface. Although it has seven option configuration interfaces (not discussed about the mining structure Interface), all of them can be classified into three categories: 1.Read defined Permissions A person with this permission can connect to the OLAP database, and then it wi

Sap bi product line

Sap bi product line Note: I have not used all SAP bi products, so the following descriptions may be incorrect.1.1: Let's first look at the data warehouse (DW)SAP biw is a multidimensional database with a management platform. It provides an ETL platform in BW for ETL.It is worth mentioning that BW provides a standard bapi interface that allows third-party ETL tool providers to extract data from SAP data warehouses, resulting in many ETL third-party tools. No DW exists in the acquired Bo product l

[Original] ORACLE _ Data Pump Export Import migration recovery data

Run the following command on the source database server: Log On As A system user to execute SQL statements. C: \ Documents ents and Settings \ Administrator> sqlplus system/Password SQL * Plus: Release 10.2.0.1.0-production on Thursday March 28 17:16:47 2013Copyright (c) 1982,200 5, Oracle. All rights reserved. Connect:Oracle Database 10g Enterprise Edition Release 10.2.0.1.0-64bit production with the partitioning, OLAP and Data Mining options

MySQL Performance Optimization (1) _ MySQL

amount of data accessed each time is small and discrete, our requirement for disk storage is that the IOPS performance is good, and the throughput is a secondary factor; The concurrency is high, and the number of requests processed by the CPU per second is naturally large, so the CPU processing capability needs to be strong; Although the amount of data for each interaction with the client is not very large, but the network interaction is very frequent, so the network device for interaction betw

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