best olap tools

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,

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

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

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

How BI projects are developed:Learn how OLAP is analyzed:Multidimensional modeling analysis of data, that is, the design of their own data, then the program automatically generate the data of the square bodyData side body:1. Automatic table structure, only the columns you need2. Generate an SQL statement (with query criteria)3. Cache sql, through your pre-defined multidimensional analysis, establish the relationship between the fact table and the dime

, 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

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.

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

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

from the heart.There is a need to use big data architectures, and not full use of big data, but a combination of big Data + traditional databases. We are currently testing this program. Many of these architectures have to be changed, the more fatal is the ETL becomes more complex, the traditional ETL tools many have not followed.If the amount of data is higher than the PB level, all the previous architectures have to be pulled back, using a pure Big