cubos olap

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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

Data Import and Export and transaction in Oracle11g Database

2014Copyright (c) 1982,200 9, Oracle and/or its affiliates. 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 optionsExport done in US7ASCII character set and AL16UTF16 NCHAR character setServer uses WE8MSWIN1252 character set (possible charset conversion)About to export specified tables via Conventional Path..... Exporting table

Mondrian MDX Introduction

Mondrian Introduction to MDX MDX (Multidimensional Expression) is the language that constructs the query OLAP database; just like SQL is to build an operational relational database language. MDX was pioneered by Microsoft as part of the 1997 Year system OLE DB for OLAP (ODBO) ;Mosha Pasuma Nsky is One of the MDX language designers;MDX is quickly used by other OLAP

A piece of text to read Hadoop

: Deterministic data analysis: mainly simple data statistics tasks, such as OLAP, attention to rapid response, the implementation of components such as Impala; Exploratory data analysis: Mainly information-related discovery tasks, such as searching, focusing on unstructured full-volume information collection, implementing components such as search; Predictive data analysis: Mainly machine learning tasks, such as

Oracle Partition (3) Partitioning and performance

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

Data Warehousing Solutions Guide

(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

Data Warehouse & Data Mining for Microsoft related products

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

MySQL Performance optimization Summary 1

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

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