olap pivot

On-Line Analytical Processing (OLAP) system is the main application of Data Warehouse system, specially designed to support complex analysis operations, focusing on decision support for decision-makers and senior managers, and can quickly and flexibly carry out complex query processing of large amount of data according to the requirements of analysts. And in an intuitive and understandable form of the query results provided to decision makers, so that

What is the difference between OLAP and OLTP and what is data warehouse?OLAP is usually called a data warehouse. However, data warehouses are only part of OLAP, not all.OLTP has more indexes than OLAP, and has high requirements on real-time performance, with many updates and modifications.OLAP usually queries and analy

Design and implement OLAP solutionsFirst Lecture IntroductionFirst, what is a data warehouse?Data Warehouse is the warehouse of data! In a foreign language called data Warehouse, referred to as DW.is not bang when down a piece of ah, or we change a professional point of view?A data warehouse is a topic-oriented, integrated, relatively stable, data collection that reflects historical changes and contains business information to support management decis

The difference between OLTP and OLAP Online transaction processing OLTP (on-line transaction processing) mainly performs basic daily transaction processing, such as adding and deleting database records. A transaction record in a bank, for example, is a typical business.The features of OLTP typically include:1. High real-time requirements. I remember before going to college, the bank transfer, the next day to get to the account, and now is minutes to t

Grammar:SELECT , , >, ... , from () PIVOT ( ) for[ ([First pivot column], [Second pivot column], Simulation data:INSERT into week_income SELECT‘Monday‘,1000UNIONAllSELECT‘Tuesday‘,2000UNIONAllSELECT‘Wednesday‘,3000UNIONAllSELECT‘Thursday‘,4000Union allSelect ' Friday ' ,theunion allSelect ' Saturday ', 6000UNION allSELECT ' Sunday ',7000

SQL Server row and column conversion Pivot UnPivotPivot is used to rotate column values to column names (row to column), and SQL Server 2000 can be implemented with an aggregate function with a case statementThe general syntax for pivot is: Pivot (aggregate function (column) for column in (...)) As PFull syntax:Table_sourcePIVOT (Aggregation function (value_colum

Pivot is used to rotate column values to column names (row to column), and SQL Server 2000 can be implemented with an aggregate function with a case statementThe general syntax for pivot is: Pivot (aggregate function (column) for column in (...)) As PFull syntax:Table_sourcePIVOT (Aggregation function (value_column)For Pivot_columnIn ()Unpivot is used to convert

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

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

Summary: The usage of Excel pivot tables must be. 1. An Excel Pivot table can group statistics on data based on the Time column and user-defined time interval, such as by year, quarter, month, day, or week, that is, you only need to have a date field in your data source table to group data according to (any) The time period ;.If you look at the source data worksheet, you'll notice that there is no quarter

I. Pivot table 1. Create a PivotTable Insert-PivotTable, and select OK. If the file format is [XLS], the created Pivot table is of the old version (the same as that of excel2003). If the file format is [XLSX], the created Pivot table is of the new version. Set the new version to the old version of the pivot table: Righ

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