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My colleague asked a very simple question: how can I retrieve the minimum value of another column in each partition? create table t1 (int c1, int c2); If the partition is based on C2, 0-10, 10-20, 20-30, 30-40, 40-50 insert into t1 values(101, 1);insert into t1 values(102, 2);insert into t1 values(111, 11);insert into t1 values(112, 12);insert into t1 values(121, 21);insert into t1 values(122, 22);insert into t1 values(131, 31);insert into t1 values(132, 32);insert into t1 values(133,
A data warehouse can be used as a data source for data mining, OLAP, and other analysis tools. Because the data stored in a data warehouse must be filtered and converted, the wrong data can be avoided, the result is incorrect.Data Mining and OLAP are used as analysis tools. The difference is that OLAP provides users with a convenient multi-dimensional viewpoint a
The concept of online analytical processing (OLAP) was first proposed by the parent of the relational database e.f.codd in 1993, and the proposed OLAP has aroused great repercussions, and OLAP is clearly distinguished from online transaction processing (OLTP) as a class of products.Today's data processing can be divided into two broad categories: online transacti
different perspectives, the query and analysis results can be presented to decision makers in an intuitive and easy-to-understand manner.The Logical Data Model Used by OLAP is a multidimensional data model.Common OLAP multidimensional analysis operations include roll-up, drill-down, slicing, chunking, and rotation. Multi-dimensional data models are implemented in three ways: ROLAP structure, molap structur
As mentioned above, Mondrian is the core engine of OLAP. It is responsible for computing and caching data from relational databases and responding to queries from the presentation layer using the ms mdx syntax. The specific manifestation is a jar, which is started with Tomcat. After reading the foodmart sample, you should do it yourself. The first step is to design the OLAP database structure. Compared w
MDX is mainly used in OLAP query language, full name: Multi-dimensional Expression. Syntax is similar to the Structured Query language SQL for OLTP, but there is a big difference. Look at the Sql-server online Help, combined with the company's existing OLAP implementation, a simple study.1: The Concept: Hierarchical structureFor a few other concepts: dimensions, levels, members, attributes are better unders
Label:DB, ETL, DW, OLAP, DM, BI relationship structure diagram Here are a few words about some of their concepts: (1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not ap
DB, ETL, DW, OLAP, DM, BI relationship structure diagramHere are a few words about some of their concepts:(1)db/database/Database -This is the OLTP database, the online things database, used to support production, such as the supermarket trading system. DB retains the latest state of data information, only one state! For example, every morning to get up and face in the mirror, see is the state, as for the previous day of the state, will not appear in
OLAP (On-line Analytical Processing) online analytical processing, also known as transaction-oriented processing, is characterized by the fact that the user data received by the foreground can be transferred immediately to the computing center for processing and the processing results are given in a very short period of time. is one of the ways to quickly respond to user actions.OLTP (on-line Transaction processing) online transaction processing, whic
Oracle OLAP FunctionsThis topic has been used a lot recently. I have summarized it. Syntax: function_name (,,...)Over () OLAP function Syntax: 1. The function itself is used to operate the data in the window. 2. Partitioning clause is used Div: eq (0)> Div: eq (3)> table: eq (2)> tbody: eq (0)> TR: eq (0)> TD: eq (0)> Div: eq (0)> # Content: eq (0)> Br: eq (6) " anchortype=" previous " jquery12348
OLTP (online transaction processing) and OLAP (Online Analytical Processing) concepts and optimization, oltpolap OLTP, Also called online transaction processing (Online Transaction Processing), Indicating that the transaction is very high. Generally, it is a high-availability online system. It focuses on small transactions and small queries. When evaluating its system, it generally depends on what it executes per second.TransactionAndExecute SQL. In
There is no doubt that this is the best story I've read about Amazon in the past year--and we can almost say it's the third-star technology industry after Apple and Google, though it's still a distant third. Very interesting, it is good because it did not get the official Amazon interview. This forced the author to conduct a full-scale survey, which presents a dangerous relationship between
[Original article: http://feigme.javaeye.com/blog/149641] The differences between online transaction processing (OLTP) and Online Analytical Processing (OLAP) are mainly distinguished by the following five points.User and system orientation:OLTP is customer-oriented and used for transaction and query processing.OLAP is market-oriented and used for data analysisData content:The OLTP system manages the current data.The
Tags: OLAP online analytics for Data warehouse applicationsRelated articles:Data Warehouse Application (i): Data Warehouse model designData Warehouse Application (ii): Data extraction, transformation, loading (ETL)前言：有关数据仓库的研究，并不仅仅停留在理论上。目前，几种主要的RDBMS产品，如Oracle、SQL Server、Informix和 Sybase等，都可以为用户提供数据仓库项目的开发工具；而一些通用的应用程序开发平台，如Delphi等，也能对数据仓库项目的开发提供有效的支持。我们将使用Microsoft SQL Server 2005提供的数据仓库工具SSAS对数据仓库中的数据进行OLAP
data dump, it will be in the db of a point in time state, "extract", according to the DW storage model requirements, "conversion" Data format, and then "load" to the DW process, it should be emphasized that the DB model is ER model, conform to the paradigm design principle, and DW data model is a snowflake structure or star structure, with the topic-oriented, problem-oriented design ideas, so the DB and DW model structure is different, Conversion is required. (4)
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
same time, to maintain data consistency, Oracle needs to use latch to serialize user operations. When a user obtains latch, other users can only wait. The more users get the data block, the more obvious the waiting. This is the hot issue. This kind of hot speed may be data blocks or rollback blocks. Data blocks are usually caused by uneven data distribution in the database. If the data blocks are indexed, you can create reverse data blocks to achieve data redistribution, for data blocks in a ro
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