tableau olap

Label: 1. View Filegroup SQL statements SELECTData_located_on_filegroup=Fg.groupname, table_name=Obj.name fromsysfilegroups FG, sysindexes idx, sysobjects objWHEREIdx.id=obj.id andObj.typeinch('S','U') andIdx.indid 2 andIdx.groupid=Fg.groupid andObj.name like '%%'--table name ORDER byFg.groupname 2. Changing filegroups Description: When creating an index on a table, you can specify that the index be in a different filegroup so that the table is migrated to another filegroup Step 1: Create a

This article provides three different ways to call Ggplot in Python (IPython Notebook). In the big data age, data visualization is a very hot topic. Every BI vendor invests a lot of energy in the field of data visualization. With its powerful data visualization capabilities, Tableau has become a hot listed company in Silicon Valley. The theoretical basis of Tableau's data visualization is actually the Grammar of Graphic, which presents a syntax abstr

Newlisp tracks jobtracker status, newlispjobtracker The basic idea is to use newlisp to regularly download the jobtracker page, use regular expressions to parse the table elements in html, and then obtain the latest mapreduce status. Each time the status data is obtained, it is stored in the mysql database, and tableau is used to present the status of the mapreduce cluster with reports. This is the data of the jobtracker site. This is a report draw

, sharing the teaching video, and also the data Analyst Exchange platform. Internet Analytics Salon http://www.techxue.com/fenxi/ Mainly a set of e-commerce, data analysis, product operations and experience sharing site, to provide users with Internet financial analysis, industry figures and practical cases, in big data analysis, machine learning, website analysis and other aspects also have unique views. website Data Analysis http://webdataanalysis.net/ Mainly relate

A brief explanation of common nouns in data data Warehouse Data Warehouse in the middle of the 80 's, Mr. William H.inmon, the "Father of the warehouse", defined the concept of data warehousing in his book "Building Data Warehouses," and then gave a more precise definition: Data warehousing is a topic-oriented, integrated, A data collection that is related to time and cannot be modified. Unlike other database applications, a data warehouse is more like a process for the integration, processing,

MondrianMDX introduction MDX (MultidimensionalExpression) is the language used to build and query OLAP databases, just like SQL is used to build and operate relational databases. MDX was the first developed by Microsoft and is part of OLEDBforOLAP (ODBO) in 1997. MoshaPasumansky is one of the MDX Language designers. MDX was soon launched by other OLAP vendors. Mondrian MDX introduction MDX (multidimen1_expr

Mondrian is an OLAP engine, unlike OLTP, where OLAP is a logical model built above a physical table, called a cube, which is built by specifying optional dimensions and measures, each dimension has a dimension table, and the dimension has hierarchical information. OLAP lookup is implemented in an MDX table, similar to the OLTP SQL syntax, MDX has its own syntax,

because Excel does not have the ability to connect to a data source, at best a Spread Sheet. But Excel's powerful formatting features make report makers bow down, and even then, almost all BI vendors provide plug-ins for Microsoft Excel, through plugins, Excel can connect to BI data sources, turn into BI reporting tools, ugly duckling to Swan.5) Overview of the BI Advanced application Mode-Online analytical processing,olap

I. Analysis Services　　Analysis Services is the data engine for decision support and BI solutions. It provides analysis data that is used in reports and clients.It can create high-performance query structures, business logic, and KPIs (Enterprise key performance indicators) in a multipurpose data model that can be accessed by any client program that supports Analysis Services as a data source.Creation of a multipurpose data model: Use SQL Server data Tools and select the tabular or multi-and data

From: http://www.chinabi.net/CIO/knowledge/200702/2.html Data WarehouseWilliam H. in his book "building a data warehouse", Mr. inmon defined the concept of a data warehouse, and then gave a more accurate definition: A data warehouse is a topic-oriented, integrated, time-related, and unchangeable data set in enterprise management and decision-making. Unlike other database applications, data warehouses are more like a process of integrating, processing, and analyzing business data distributed ac

combines the advantages of the above two methods to ensure scalability and ease of use while ensuring the execution efficiency. The first method is supported by four types of products. The second method is only supported by several large reports and dry reports. The third method is only supported by several large reports. Therefore, the score is 8 points for style report and crystal report, 10 points for several giant reports, and 9 points for rundry reports. Report 14: Sample provider:Massive

In the use of Oracle databases, Backup recovery is the most critical. When the database fails, it can be restored in a timely manner to reduce unnecessary losses. Next I will briefly introduce the import and export of databases, solutions, tables, and the role of things in the Process of use.1. Export data tables[Oracle @ CentOS ~] $ Exp scott/system tables = t file = '/home/oracle/t. dump 'Log = '/home/oracle/t. log'; -- export t table data in scott (tables = can write multiple tables, full = y

solutions for reporting integration and analysis in extranet and Enterprise Portal applications, and the ability to extend information to hundreds of users. Crystal Enterprise integrates seamlessly with the world's high-performance reporting tools for relational data Crystal Reports Professional, and integrates representatives from any OLAP data source to build interactive reporting technologies Crystal Analysis Professional, and has the function of

, using the Java 2D graphics library, and is easily integrated into Java swing applications or web applets. prefuse is licensed under the terms of a BSD license, and can be freely used for both inclucial and non-inclucial purposes. Prefuse is a data visualization tool developed in Java. It supports rich data models, visualization, and interaction features, with tables, tree shapes, a series of la S and animations. Prefuse uses Java 2D graphics library programming, which can be effectively integr

discussed in this article, even if it can achieve data visualization with Multiple forks now or in the future. The popular WEB data visualization technologies include D3.js and tableau. D3 has a lot of visual images, but it can't be seen in many cases. Specific visible D3-Example. In addition to the support for treemap and other functions, tableau's support for maps is particularly prominent. For details, see tab