olap pivot

from data warehouse is the biggest purpose of establishing data warehouse and using data mining. The essence and process of both are two things. In other words, data warehousing should be established first, and data mining can be carried out efficiently, because the data contained in the Data Warehousing itself is clean (No erroneous data involved) and complete, and integrated. Therefore, the relationship between the two may be interpreted as "Data Mining is a process and technology for finding

First, set OLAP, which can be accessed by machines in the LAN through the HTTP protocol. Then, use Excel to connect to OLAP through HTTP. The settings are as follows: 1. Create an OLAP site 1. Find the c: \ Program Files \ Microsoft SQL Server \ msas10.mssqlserver \ OLAP \ bin \ ISAPI Directory, which contains two fi

Converting OLTP data to provide acceptable performance in an OLAP system requires the following procedures to be performed: Merging data You must be able to incorporate all relevant information about a specific project (product, customer, employee) from multiple OLTP systems into an OLAP system. The merge process must address the problem of coding differences between different OLTP systems. For example, a

How to Use pivot tables to view data in Excel (Graphic tutorial)Excel 2003 worksheet is an ideal tool for organizing and analyzing financial data. For example, you may create a worksheet containing travel and accommodation expenses. If you need a Summary of the categories for each quarter, you know how to modify the worksheet accordingly. However, what happens when you need to view the total timing of the expense category on a quarterly basis? What sh

OLAP (on-line analysis processing) enables analysts, administrators, or administrators to quickly, consistently, and interactively access information from multiple perspectives, this gives you a better understanding of the data. OLAP is designed to meet decision-making support or specific query and report requirements in multi-dimensional environments. Its core technology is the concept of "dimension. Dimen

1. First of all, let's not take big data to say things, first analysis of OLAP and OLTP.OLAP: Online analytical Processing (OLAP) systems are the most important applications of data warehouse systems and are specifically designed to support complex analytical operations, with a focus on decision support for decision makers and senior management.OLTP: Online transaction processing (oltp,on-line Transaction p

MySQL and OLAP: analyticdb SQL query best practices for multi-dimensional analysis. the rough and fast solution is to use ROLAP (relational OLAP. Data is stored in MySQL after Dimensional Modeling. The ROLAP engine (such as the open-source Mondrian) is responsible for converting OLAP requests into SQL statements and submitting them to the database. The

SUM( CaseWEEK when 'Monday' ThenINCOMEEND) as [Monday],SUM( CaseWEEK when 'Tuesday' ThenINCOMEEND) as [Tuesday],SUM( CaseWEEK when 'Wednesday' ThenINCOMEEND) as [Wednesday],SUM( CaseWEEK when 'Thursday' ThenINCOMEEND) as [Thursday],SUM( CaseWEEK when 'Friday' ThenINCOMEEND) as [Friday],SUM( CaseWEEK when 'Saturday' ThenINCOMEEND) as [Saturday],SUM( CaseWEEK when 'Sunday' ThenINCOMEEND) as [Sunday] fromWeek_incomeHowever, a simpler approach is provided in SQL SERVER 2005, which is the

should look like this:Monday Tuesday Wednesday Thursday Friday Saturday Sunday1000 2000 3000 4000 5000 6000 7000In this case, SQL query statements can be written like this:SELECT SUM (case WEEK "Monday ' then INCOME end" as [Monday],sum (case WEEK, "Tuesday" then INCOME END) as [Tuesday],sum (case WEEK when "Wednesday ' then INCOME END" as [Wednesday],sum (case WEEK "Thursday ' then INCOME END" as [Thursday],sum (case WEEK "Friday" Then INCOME END) as [Friday],sum (case WEEK "Saturday ' then

OLAP learning and instance Building Theoretical preparation: I. OLAP 1. What is OLAP? OLAP (on-lineanalysis processing) is a fast analysis technology that shares multidimensional information. OLAP uses multidimensional database technology to enable users to observe data from

Online transaction Processing OLTP (on-line transaction processing) primarily performs basic, daily transaction processing , such as the increase, deletion, modification, and checking of database records . For example, in a bank to access a payment, is a transaction transaction. The features of OLTP typically include:1. High real-time requirements;2. The amount of data is not very large;3. Transactions are generally deterministic, so OLTP is access to definitive data (e.g., deposit and withdrawa

Oltp:on_line Transaction processing online transaction processing Olap:on_line Analytical processing online Analytical processing OLTP, as its name suggests, focuses on business processes. OLAP is specially designed to support complex analysis operations, focusing on decision support for decision makers and senior managers, it is possible to quickly and flexibly perform complex query processing of large amounts of data, and provide the query results

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 OLAP is market-oriented for transaction and query processing. It is used for data analysis. data content: OLTP system manages current data. the OLAP

a normalization of the star mode.. In snowflake mode, dimension tables in star mode are further layered. The original dimension tables may be extended to small fact tables to form partial "hierarchical" areas.It minimizes data storage and combines smaller dimension tables to improve query performance. The snowflake mode increases the number of tables that users must process and the complexity of some queries. But this can make the system more professional and practical, while reducing the gene

Optimizing the performance of online analysis processing is very important, and fortunately, some tools can help monitor and improve the operation of OLAP databases. Microsoft SQL Server Analytics Services (SSAS) provides a powerful engine for creating and managing data mining applications and online analytical processing systems, and you should carefully monitor and optimize OLAP databases and potential

In this paper we present BATCHDB, a in-memory database engine designed for hybrid OLTP and OLAP workloads. BATCHDB achieves good performance, provides a high level of data freshness, and minimizes load interaction between the TRA Nsactional and analytical engines, thus enabling real time analysis over fresh data under tight SLAs for both OLTP and OLA P workloads. This article describes a memory database engine specifically designed for mixed OLTP a

The distribution of data in multidimensional space is always sparse and uneven. At the location where the event occurs, the data is aggregated and the density is large. Therefore, developers of OLAP systems should try to solve the problem of data sparsity and data aggregation in multidimensional data space. In fact, there are many ways to construct multidimensional data. 1. Super cubic structure A hypercube structure (hypercube) refers to a three-di

"Perspective" as a verb, meaning rotation. If you view data as an object, the pivot table allows you to rotate the data to summarize it from different angles or points of view. Pivot Tables make it easy to move fields, swap field locations, and set up specific groups for creating projects.If you give a strange object to identify you, you may look at it from different angles to get the answer. Working with

throughput is often dependent on the number of disks, this time, Cache basically no effect, the database read-write type is basically db file scattered read with direct path read/write . Should try to use more than the number of disks and relatively large bandwidth, such as 4Gb the fiber interface.In the OLAP system, partitioning technology and parallel technology are often used.The importance of partitioning technology in the

Some basic knowledge about OLAP and OLTP Http://www.searchdatabase.com.cn/ShowContent_9526.htm Guidance:ArticleThis section describes some basic knowledge about OLAP and OLTP. Keywords: olap oltp basic knowledge Loading data... OLTP: on_line transaction processing online transaction processing OLAP