Best cube software for free download

Data mining, decision cube software - DBMyne. DBMyne is a data mining software. In the wide area of data mining DBMyne addresses the field of decision cube analysis. DBMyne is an easy to use software that helps you analyze and present data.
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Play cubikc rubic and fune online. Solving the Rubik's Cube. A simple and foolproof solution to the Rubik's Cube. Use your mouse to solve this virtual Rubik's Cube. This is a flash representation of the 3x3x3 Rubik's Cube.
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A set of modernized 3D pong style games combining the best features of squash and tennis. You defend your side of the game cube and the computer defends the opposite side. The racket lets you make skewed and curved shots.
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This original and addictive puzzle game masterfully delivers the next dimension of fun. There`s never a dull moment as Ghost Cubes randomly teleport onto the board within the new Morph-Fun modes. Use the Bomb Cube to blast Cubes and re-arrange level.
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Simple screen saver. Mathematic transformations of the flying figure with color flowing. Several options to change the visual effects (phantom, speed etc.). Preview and test mode support.
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RadarCube is a powerful NET Windows Forms OLAP control entirely authored in C# 2.0. Having an excellent performance it allows to work with databases with millions records. RadarCube has a splendid user interface and powerful API designed to create true OLAP applications.

Key features:
- One or several tables/views /stored procedures described in a DataSet object.
- A set of standard aggregation functions like Sum, Count, Distinct Count, Min, Max so on. Custom aggregation functions.
- Hierarchies of three types:
-- Parent-child hierarchies (both balanced and unbalanced);
-- Multilevel hierarchies (both regular and ragged);
-- Mixed from all previous types.
- An ability to create calculated measures, dimensions, hierarchies and hierarchy levels.
- Calculated members of hierarchies.
- Auto conversion of the DateTime fields into multilevel hierarchies. Any conversion algorithms.
- Unicode support.
- Several types of drilling down: to the nearest successor, to the next level, to the next hierarchy.
- Hierarchy members grouping (including multilevel and parent-child hierarchies).
- Separate sorting of different hierarchy levels.
- Ascending or descending sorting based on the column values in the grid.
- Filtering of hierarchy members with or without applying these filters to the OLAP calculations.
- Ability to place pictures into grid cells, and automatically position picture and text within the cell, depending on the parameters defined by a programmer.
- A complete control over the cells contents, ability of custom drawing within the cells.
- Ability to change the context menus in the grid.
- Auto sizing of the cell depending on their contents.
- The IListSource interface implementation which allows OLAP Grid to be used as the data source for the components working with data (for example, Chart or export).
- Allows exporting grid data to MS Excel, BMP, TXT, HTML, JPG, GIF, PDF, and so on.
- An ability to edit OLAP data.
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OlapCube is a simple, yet powerful tool to analyze data. OlapCube will let you create local cubes (files with .cub extension) from data stored in any relational database (including MySQL, PostgreSQL, Microsoft Access, SQL aServer, SQL Server Express, Oracle, Oracle Express).

You can explore the resulting cube with our OlapCube Reader. Or you can use Microsoft Excel to create rich and customized reports.

The OLAP cube consists of numeric facts called measures which are categorized by dimensions. An OLAP cube is a data structure that allows fast analysis of data. The arrangement of data into cubes overcomes a limitation of relational databases. Relational databases are not well suited for near instantaneous analysis and display of large amounts of data. Instead, they are better suited for creating records from a series of transactions. Although many report-writing tools exist for relational databases, these are slow when the whole database must be summarized.

OLAP cubes can be thought of as extensions to the two-dimensional array of a spreadsheet. For example a company might wish to analyze some financial data by product, by time-period, by city, by type of revenue and cost, and by comparing actual data with a budget. These additional methods of analyzing the data are known as dimensions.

A financial analyst might want to view or "pivot" the data in various ways, such as displaying all the cities down the page and all the products across a page. This could be for a specified period, version and type of expenditure

Each of the elements of a dimension could be summarized using a hierarchy. The hierarchy is a series of parent-child relationships, typically where a parent member represents the consolidation of the members which are its children. Parent members can be further aggregated as the children of another parent. For example May 2005 could be summarized into Second Quarter 2005 which in turn would be summarized in the Year 2005.
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OLAP ModelKit is the first OLAP component for .NET completely written in managed code. This component has an XP Themed appearance and an ability to use any .NET data sources (including ADO.NET and IList). The flexibility of the product is additionally extended by the ability to present data with the help of any third party chart component. OLAP ModelKit is easy and convenient in use due to a friendly User Interface that is attractive and comprehensible. OLAP ModelKit allows developers to embed an effective OLAP technology in all Windows applications based on relational data. Embedded OLAP ModelKit will allow end users to interact with huge databases summarizing and exploring data infinitely. With OLAP ModelKit embedded in your application, users can view any amount of data in any way considered to be suitable at the moment as well as perform interactive analysis of any type and quality. The following manipulations are available: data filtering, drilling down, rolling up, dimensional pivoting and ranking. Full source code in C# is also available. Distribution of OLAP ModelKit is royalty free. OLAP ModelKit is a powerful and high-performance OLAP component specially designed to help you reduce your development time and costs while building effective decision support systems.
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Rings&Colors is a new Twist on famous Rubik's Cube game!

12 balls of different colors are located on three intersecting circles. A player can rotate any circle with balls clockwise or counterclockwise. The objective is to make a desired figure out of colored balls. The display will show the disposition of balls to be achieved. Choose a puzzle type ranging from a puzzle with balls of 2 colors (beginner's level) to a puzzle with balls with numbers from 1 to 12 (expert) and play the game. At any time of a game you can return to the initial disposition of balls. During a game you can Undo changes for last 100 moves.

Try your hand in Rings&Colors and beat your best score!
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# FastCube is a handy tool for efficient analytical data arrays handling.
# FastCube usage for report building does not require programmer's high skill level.
# You can build FastCube into your applications created in Delphi or Lazarus environments by way of components' set.
# Connection to any datasource wich supports "TDataSet" interface.
# There is an opportunity to build ready-made templates for the cube and to prohibit user's scheme modification.
# You can export cube's cutoff into Excel, Word and HTML.
# All cube's settings may be performed both by program and a use
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Donuts in Danger is a frantic action shooter with cool upgradeable weapons, tons of enemies and 45 manic levels. Help the Martians to save their precious donuts from the Cube-Clan scum. Blow them to pieces and collect the credit crystals and then spend them in the shop to upgrade your gun. Fast, frantic and more weapons than you could poke a Martian stick at! The game also features excellent retro style graphics, sound and music, 4 large end of level bosses, a high score table to record your top scores and non-stop shooter action guaranteed to keep you on the edge of your seat!
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One of conditions to achieve success in business is quick data analysis that allows saving money and time. Today many companies use pivot tables which have imperfections such as lack of flexibility and integrity of dataset, intraprocess transparency. Companies should put a question if they are ready to loose competitive ability using inaccurate data or apply progressive technology. For those who are eager to increase the efficiency by applying such a technology Perpetuum Software offers OLAP ModelKit. In addition to common functionality inhered by the existing OLAP components such as accuracy and easiness of data analysis, ability for creating and treating alternative relations etc. OLAP ModelKit has its own particularities. The product is fully compatible with .NET due to 100% managed code. This component has an XP Themed appearance and an ability to use any .NET data sources (including ADO.NET and IList). OLAP ModelKit supports nested data sources. Now there is no need to prepare a special data access meeting the required calculations. This library is intended for creating and utilizing cross reports based on multiple statistical data of large volumes. Moreover, OLAP ModelKit provides an opportunity to represent the final report data not only as a table; it also allows organizing the information so to make it available for use by third party chart components. It should be mentioned such features as comprehensible User Interface. Now end users have an ability of data filtering, drilling down, rolling up, dimensional pivoting, ranking. The product allows embedding OLAP technology in all Windows applications based on relational data. It is possible to export a cross report into an Excel table, HTML or PDF. OLAP ModelKit is a high-performance OLAP component specially designed to help reduce development time and costs while building effective decision support systems. Full source code in C# is available. Distribution of OLAP ModelKit is royalty free.
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Quella B.I.S. is an easy-to-use tool covering the Business Intelligence Process from Data Extraction to Analysis. As a total solution, Quella extracts transactional data from heterogeneous data sources, consolidates the extracted data and provides necessary business information to decision makers through List Reports, Charts and OLAP-Reports. Information becomes in this way easily available to decision makers throughout the organisation.

Quella is a tool that helps you to maximise the benefits of processing existing data and allows you to easily incorporate new ones. Users do not need to have data warehouse experience nor extensive knowledge in SQL-programming to fully exploit the rich functionality encapsulated in the application. Through a user-friendly interface, extracting, combining and managing data becomes an easy task. Powerful algorithms also make your data manipulation processes more efficient and flexible while build-in reporting capabilities enable you to deliver fully customised information to those who need it.

The entire process from data extraction to report generation can also be fully automated and scheduled so that once a report is implemented, human intervention can be reduced to the minimum.

Furthermore, Quella’s flexible design will ensure that any unexpected change in terms of data sources or informational needs can rapidly be incorporated into existing solutions. Information once delivered to the decision maker can be easily analysed through List Reports, Charts or OLAP-Reports. The latter are particularly powerful tools to interactively summarise, slice and filter data without the need of an OLAP-Server. All the reports are portable and therefore ideal for off-line working forces.

Quella data warehouse, reporting and data analysis package consists of two complementary computer programs:

Quella Creator: ETL-Processing, Data Warehousing, Report Desing and Creation.
Quella Cognitus: Charting, OLAP-Analysis, Spreadsheet Analysis.
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