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
Methods for accessing data mining databases on other machines through the network:Perform the following configuration on the data mining database machine:1. Install xmlasdk. MSI. (Download from Microsoft website)2. Set the directory under the
OLAPThe basic multidimensional analysis operations include drilling (drill-up and drill-down), slice, dice, and rotation.
Drilling:Is to change the level of the dimension and the granularity of the analysis. It includes drill-down and drill-up/roll-
Ods-bi in the construction of ETL to occupy 1/3 of the time, deep feelings. The modeling of BI, from the physical data layer, the logical data layer, the business logic layer at all levels, there are many automated tools to handle.However, the
Many bugs of previous versions have been modified in this version.
The chart part uses the latest version 2.0.4 of visifire to solve the problem of chart switching.
You can select only one dimension for query.
Some modifications were made on the
Using the current banking network system and data, the system mainly implements the following functions: (1) Bank Card Management Information System A. Customer Information Management: analyzes and manages the information, transactions, account
processing structure, new data organization, query strategy, indexing technology and so on.
Many applications, including online analytical processing (On-line Analytical processing, OLAP), drive the emergence and development of data Warehouse technology, and the Data Warehouse technology, in turn, promotes the development of OLAP technology. The concept of online analytical processing was first proposed b
Summary
Many organizations use Online Analytical Processing (OLAP) technology to analyze their key business data. OLAP-based data Drilling provides a way to query multi-dimensional datasets and obtain modes through drilling data. ASP. NET and Microsoft Office Web Components (owc) Enable Web-based OLAP reports. The owc control can be embedded on web pages andPro
Bi-open the door to Business IntelligenceTo meet the requirements of enterprise managers, a Bi system must take the following steps:1) to integrate data in various formats, clear the error records in the original data-data preprocessing requirements.2) data pre-processing should be centralized in a unified manner-metadata (metaDaTa, data warehouse (DA)TaWarehouse) requirements;3) Finally, professional statistics should be made on a large centralized dataset to discover new opportunities that are
proposed in 1996. At that time, business intelligence was defined as a kind of technology and its application, which consisted of data Warehouse (or data mart), query report, data analysis, data mining, data backup and recovery, to help enterprise decision-making. The data may come from business systems such as CRM and SCM. Business intelligence can assist in business operation decisions, either as an operational layer or as a tactical and strategic layer. To turn data into knowledge, you need
Four types of BI open source tools introduction-spagobi,openi,jaspersoft,pentaho1 Brief Introduction to BI systemsFrom a technical point of view BI includes ETL, DW, OLAP, DM and other links. Simply put, the transaction system has already occurred data, through the ETL tool extracted to the subject of a clear data warehouse, after the OLAP generation cube or report, through the portal to show users, users u
window| E-commerce | design | Scaling Now, we use this data in an OLAP cube so that we can analyze it more dynamically, and we can use it in other programs such as Excel. Since the introduction of the use in the last demo is complete, all we have to do is synthesize the tables for the OLAP process and use those cube data.
The first thing we have to do is we have to go to the results server and then Query An
Analytic Workspace VALIDOracle OLAP API VALIDOLAP Catalog VALIDSpatial VALIDOracle Enterprise Manager VALID17 rows selected.
4: Copy parameter files, control files, data files, log files to 64-bit Databases
5: create a directory on a 64-bit system, such as udmp adump, which must be consistent with the 32-bit system.
6: if the data file directory of the database changes, you need to create a new control file (it is best to keep the source database
VALIDOLAP Analytic Workspace VALIDOracle OLAP API VALIDOLAP Catalog VALIDSpatial VALIDOracle Enterprise Manager VALID17 rows selected.
4: Copy parameter files, control files, data files, log files to 64-bit Databases
5: create a directory on a 64-bit system, such as udmp adump, which must be consistent with the 32-bit system.
6: if the data file directory of the database changes, you need to create a new control file (it is best to keep the sourc
operation is made, if the characters are not converted correctly, the Oracle database automatically uses a "?" Instead, that is, code 63.
e:\nls2>set Nls_lang=american_america. Us7asciie:\nls2>imp eygle/eygle file=sus7ascii-cus7ascii.dmp fromuser=eygle touser=eygle tables=testImport: Release 9.2.0.4.0-production on Mon Nov 3 17:14:39 2003Copyright (c) 1982, 2002, Oracle Corporation. All rights reserved. Connected to:oracle9i Enterprise Edition release 9.2.0.4.0-productionwith The partitioni
Open-source Bi SYSTEM
Directory
Open-source Bi system Classification
Bi application tools
ETL tools
Table tools
Eclipse Birt
OLAP tools
Open source database
Open-source Bi suite
Bizgre
Openi
Pentaho
Spagobi
Open-source Bi system Classification
Bi applicatio
General Purpose = Take account of both OLTP and OLAPTransaction processing =OLTPData Warehouse =olapCustom DATABASE = Custom
Gold dividing line (deep analysis) *******************************
Data processing can be roughly divided into two main categories: online transaction processing OLTP (on-line transaction processing), online analytical processing OLAP (On-line Analytical Processing). OLTP is the main application of the traditional relational
Chapter 4 Section 2 How the pivot table component processes data
One of the most important and complex aspects of the pivot table component is how it interacts with various data sources and how it operates data in a session. This section explains how the pivot control communicates with the data source and how data is transmitted and operated during a session.
The functionality of the pivot control is a bit uncertain-because most of its functionality depends on the type of the data source it is
variable is bound, the two SQL statements are parsed twice because their predicates are partially different. If we use bind variables, such:
Select salary from user where name =: X;
At this time, the previous two SQL statements become a type of SQL. Oracle only needs to perform a hard parsing on each type of SQL statements, and then similar SQL statements use the execution plan generated by this SQL statement, this greatly reduces the resource overhead of the database for SQL parsing. The more
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