tableau olap

In practical work, often hear beginners say: "Large table partition can certainly improve query performance." In fact, when you do not understand the application of the situation, blind to create a partition not only can not improve query performance, but also may lead to query performance degradation. Therefore, before deciding whether to use a partition, you must understand the current application environment. Generally speaking, the application of database is divided into two kinds: OLTP and

(Operational Data store,ods) ". In ODS mode, data is copied from the business database to A central location, which is extracted from here to multiple data marts. ODS is from customers, products and other business A "real-time snapshot" of the business situation that is organized in an industry perspective. It does not contain historical information, but can be very Easily meet the needs of a historical database or a set of theme-oriented data marts. We generally call it a "merged Data War

ETL Tools: IBM Datastage Informatica PowerCenter Teradata ETL Automation OLAP (On-line Analytical Processing) Microsoft related products: SSAS Olap--rolap--molap Related (to find): OLAP (On-line analysis processing) is a kind of software technology that enables analysts, managers, or executives to access information quickly, consistently and interactively

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 per interaction with th

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 secondary factor; Concurrency is v

10.2.0.1.0-productionWith the partitioning, OLAP and Data Mining options Sql> exitFrom Oracle Database 10g Enterprise Edition Release 10.2.0.1.0-productionWith the partitioning, OLAP and Data Mining options Disconnect C:\Documents and Settings\administrator>sqlplus ABC/EFG as Sysdba Sql*plus:release 10.2.0.1.0-production on Thu August 28 21:02:33 2014 Copyright (c) 1982, 2005, Oracle. All rights reserv

. Because not only the traffic is very high, the amount of data is not 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 req

Label:Exporting data using a data pump 1. Connect to Oracle DatabaseSql> Conn/as SYSDBAis connected. 2. Create an Operation directorySql> Create directory Dump_dir as ' E:\dump ';Note You will also need to create this physical directory on your hard disk using the operating system command. The catalog has been created. 3. Create an export file directory using the following commandHR User Actions Dump_dir permissions for the directory, Sql>grant read,write on directory My_dir to Scott; Authorizat

product form it is trying to provide behind the name. And the wheels, the business intelligence systems, what's the problem? There are many commercial BI products, foreign more well-known products, such as Tableau, Qlikview, Power BI, domestic claims have been agile, such as Yonghong BI, sail soft Finebi and BDP. In addition, there are products from the Internet industry Company's new recruits, such as Aliyun's quick BI, NetEase's netease

If each row of a matrix is strictly monotonically incremented, we call the matrix the young Tableau. For the young matrix (a[m][N]), it usually involves two questions: (1) How to find an element x in the young matrix. (2) How to find the number of K large in the young matrix. 2. The solution The young matrix is a very ingenious data structure, which can be used as a heap and as a balance tree. (1) Problem 1 solution "Programme One" For the young mat

While there are few BI suite on the market, such as MicroStrategy and Pentaho, they have been competing with SAP's business Objects BI Suite. Many of the more leading BI tool vendors, such as tableau or qlikview, may be able to surpass SAP in some areas, but some of the features of SAP BI Suite are still not achievable. The biggest advantage of SAP BI Tools is its deep integration with other SAP applications, including SAP Business Suite, ERP, and E

The data loading strategy mentioned in this paper is the OLTP system as the source system, and The general data loading strategy used by ETL data to be loaded into OLAP system. Depending on the specific nature of this approach, the ETL data load generally has the following four kinds of parties Case: 1. Time Stamp mode You need to uniformly add time fields as timestamps in the business tables in the OLTP system (such as the time fields already availab

A multidimensional database (Multi dimesional DATABASE,MDD) can be simply understood as storing data in an n-dimensional array, rather than storing it as a record as a relational database. So it has a lot of sparse matrices, and people can look at the data through multidimensional views. Multidimensional database adds a time dimension, compared with relational database, its advantage is that it can improve data processing speed, speed up reaction time and improve query efficiency. There are cur

Use IMPDP to export server dump files locally, use IMPDP to import remote database users locally1) EXPDP is a 2 of the dump files that can be generated on the client) IMPDP is a migration copy of the data that can be performed between different instances 1:1) The remote database WSJB user is exported to the local disk by using the EXPDP command under the D:\ Microsoft Windows [version 6.1.7600] Copyright (c) Microsoft Corporation.All rights reserved. C:\windows\system32>Sqlplus System/systemSql*

==" Add ", kernel==" SDB9 ", run+="/bin/raw/dev/raw/raw7%N "The disk information under ASM is as follows:[[emailprotected] ~]$ export oracle_sid=+asm1[[emailprotected] ~]$ sqlplus/as sysdbasql*plus:release 10.2.0.5.0-production on Sun 12:55:25 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, OLAP, Data miningand

Tags: des io ar os sp for on art logAnonymous Login with DBA[Email protected] ~]$ Sqlplus/as SYSDBASql*plus:release 11.2.0.1.0 Production on Wed 8 16:39:53 2013Copyright (c) 1982, Oracle. All rights reserved.Connected to:Oracle Database 11g Enterprise Edition Release 11.2.0.1.0-productionWith the partitioning, OLAP, Data Mining and Real application testing optionsSwitch User Login @enfodwSql> Conn Enfo_ods/[email protected]Connected.View Catalog Table

Today to customers to patrol, customer proposed in order to improve the security of the database, need to modify the Sys/system password, and through the database authentication method to replace the default operating system mode, I now to the two verification methods summed up.Operating system authentication, that is, access to the database through the privileges of the operating system account, for example, if you already have the permissions of the system administrator administrator under Win

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 into memory as much as possible, although the IO access is very frequent, but the amount of data accessed is small and discrete. Then our requirement for disk storage is that the IOPS performance is very good, the throughput is a secondary factor, the concurrency is very high, the CPU