olap db

In DW/BI systems, relational databases are the best place to store and manage data. But the relational database itself is not intelligent enough. The relational database lacks the following features: Rich metadata to help users navigate the data and create queries. Powerful analytic calculations and functions, defined in context-sensitive query statements. Outstanding, consistent query performance in a variety of ad hoc queries. On the Microsoft platform, the preferred a

, for example, for OLAP analysis, we look for people who do not pay the money to the telecom operator in a timely manner. In general, we will analyze that people with low incomes often do not pay in time. Through analysis, it is found that 71% of the poor who do not pay in time. Data Mining is different. It analyzes the cause by itself. The reason may be that people outside the Fifth Ring Road do not pay the money in time. These conclusions are of gre

The topic of today's blog is: parameter linkage solution. Environment: Data Warehouse + OLAP (cube) + Reporting Service. Effect: multiple parameters (1, 2 ,......) Achieve interaction. First, let's talk about the principle. A data warehouse consists of fact tables and dimensions. I understand that fact tables are actually a table composed of multiple dimensions related to a topic and the values of these dimensions. A dimension is a dictionary. When yo

development and OLAP related small projects, there is a question that we must clarify. It is also a very important one, that is, what the customer actually needs? what exactly do they want us to develop? What are the functions? This is a user requirement analysis that is often emphasized in system analysis. it must be in place. However, as a system analyst, after learning about the user's needs analysis, there is another important problem: techn

How to select appropriate tools in the data warehouse project, so that engineering and technical personnel and business management personnel often face difficulties when choosing OLAP tools, generally, we should consider the features, applicability, performance, scalability, and future development trends of the product in five aspects. In general, the importance of these five aspects is very difficult, but you should pay attention to the following poi

OLAP system in doing statistical analysis task is very consuming resources, if just and your job task time coincide, will cause the system resources nervous, their task runs very slowly. Here is a statement that adjusts the start and length of the Oracle statistics task, bypassing the peak of the business and making the statistics task run when the system is idle 1. Query automatic statistic Information task execution time select T1.window_name, T1.

OLAP is an important function in DB2 that extends the relational model and enables the relational model to understand the sorting methods in the row set. This article will analyze OLAP functions in detail, the related instances are provided for your reference. Sort functions: the first class of OLAP functions introduced into DB2 are sort ranking functions, which

Overview One of the most flexible controls in our library is the grid control. viblend DataGrid for Silverlight is the first fully functional OLAP grid for Silverlight. it brings together the features of traditional data grid controls, hierarchical grids and Excel-like tables. viblend DataGrid for Silverlight supports both data bindings and complete Unbound mode. you can visualize a database table, bind to a generic collectionor populate the grid's

average salary of all employees without changing the query results of the preceding statement. What should I do? It is difficult to query using common SQL statements, but using OLAP functions is very simple, as shown in the following SQL: Select Row_number () over () as serial number, Row_number () over (partition by dept order by salary) as department number, Name as name, Dept as department, Salary as salary, AVG (salary) over (partition by

I have some experiences in using Oracle OLAP recently. Take a note: Oracle data warehouse has many implementation methods. I know two methods: One is ROLAP, which is based on fact table and dimension table. These tables are based on relational Tables, that is, general partition tables. Based on these partition tables, materialized view and partition are added, the statistical information and detail information of summary are provided. The report deve

OLTP: on-line transaction processing online transaction processing system, also known as a transaction-oriented processing system. Its basic feature is that customers' raw data can be immediately transmitted to the Computing Center for processing, the processing result is provided in a short time. OLAP: On-lineanalyticalprocessing online analysis and processing system. The data converted from the raw data that truly understands the user and truly ref

JPivot is the taglib of Mondrian's performance layer and has maintained good development progress. has been a long time no use, while completely forget before, the small experience to write down. 1. Chinese 1.1 Find all resources.properties files, Han to resources_zh.properties file 1.2 native2ascii resources_zh.properties Resources_ Zh.properties 1.3 To find all the XML files under Web-inf/jpivot, Han into Xxx_zh.xml 2. The architecture JPivot architecture looks different, but in fact it is a

Kylin is a set of OLAP systems developed by ebay, and unlike Mondrian, it is a MOLAP system that is primarily used to support data analytics businesses in the big data ecosystem, It mainly uses the Precomputed method to cache the user-defined multidimensional cubes into hbase (HBase is currently only supported), which is used for both Mondrian and Kylin, and finds that the two systems are a trade-off between time and space, Mondrian is a ROLAP system

A few months ago, I stumbled across an Excel plugin Smartpivot for the analysis of SSAS OLAP data, which is a very useful feature, and if your BI solution is using SSAS, then look at this stuff and be sure to have a lot of inspiration for you if your bi The report client uses Excel, so this is simply a must-have tool in the home, in recent months I have used piecemeal time to imitate and improve some of the basic functions, and according to specific p

Recently, I was engaged in a small project related to OLAP, of course, in the Web architecture. I used Dundas controls that are commonly used in the aspect of display. In VS 2005Developed in this section. during development, every browsing is in the integration environment of Vs, and there is no problem in reading Multi-Dimensional Datasets every time.But when I want to generate a website and run it on the IIS server, a problem occurs: I couldn't fig

(2 GB at present) and increase the number of groups (20 groups at present). If the number of logs is insufficient, add more groups, such as 30. In addition, ASM basically cannot improve IO in the face of such a large pool, because you cannot solve the problem of IO competition between redo and datafile. 2. undo Policy1) undo_retention Design Generally, you can set it for three hours to ensure the system is available. Of course, the undo tablespace should be large enough. Well, if you say it can

Oracle was originally designed to be transaction-based, so it won't be authentic in terms of processing analyticdb. Recent developments in Oracle-related technologies have gradually adapted to OLAP needs. 1 partition technology 2 compression technology 3 index organization Table 4 blocks 5 parallel technology 6 memory result set. The original Oracle design is based on a short and sophisticated large-scale concurrent transaction. with this, Oracle occu