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Designing Distributed Data Warehouses and OLAP Systems
Designing Distributed Data Warehouses and OLAP Systems

... The main idea of data warehouses implies a separation of input from operational databases and output to views that contain the data for particular OLAP tasks. In the data warehouse literature these views are often called “data marts”. The work in [LST99] presented a different view on data warehouse ...
You can create select queries
You can create select queries

Principles of Dataspace Systems
Principles of Dataspace Systems

Introduction to Computer Science
Introduction to Computer Science

... Information stored and processed by computer is a small fragment of reality containing essential data to solve stated problem. We have to think which informations are essential, which can help us and which are completely useless. We have to think how we will represent choosen informations. The last ...
modeling active database-driven cartography within
modeling active database-driven cartography within

CS 338 The Relational Data Model and Relational Database
CS 338 The Relational Data Model and Relational Database

...  Each attribute value must be an atomic value from the domain  Variety of data types associate with a domain ...
OLAP Systems Introduction.
OLAP Systems Introduction.

Document
Document

Perspective Motion Segmentation via Collaborative Clustering
Perspective Motion Segmentation via Collaborative Clustering

... of the camera projection, and its multi-frame extension does not suffer from the restriction of requiring features to be present in all frames. While projective factorization [17] extends the camera model to perspective, it needs an iterative process that alternates between the estimation of the de ...
data model - Computer Science
data model - Computer Science

Linear Systems
Linear Systems

...  Since the application of a Gauss transformation to a matrix involves an outer product, we can regard LU factorization as a sequence of outer product updates  Since zeros have already been introduced in columns 1 through k -1, the Gauss transformation update need only be applied to columns k throu ...
OnLine Analytical Problem (OLAP)
OnLine Analytical Problem (OLAP)

... That’s why pre-aggregation is valuable because the dimensions of the cube can be hierarchal. For example time can be divided into half years, quarters, months and days. Predefining such hierarchal relations allows for smooth drilling down and pre-aggregation. ...
Process optimization of pointing of the onboard weapon
Process optimization of pointing of the onboard weapon

Databases - McMaster University
Databases - McMaster University

... can be much larger than the available memory (retailer catalogue, bank accounts, personnel records); there is no need to explicitly open files and read data ¡  data can be accessed "simultaneously" by "clients" ¡  data is atomically updated: data is either stored or not, but never becomes corrup ...
Decision Support Systems
Decision Support Systems

... Built to solve a specific problem and Focuses on reporting and identification of problems by scanning data extracted include their own databases from a data warehouses. ...
Hard ware Requirements
Hard ware Requirements

... important for object identification, which is essential to data cleaning and data integration. The other two algorithms are developed for discovering general CFDs. One algorithm, referred to as CTANE, is a level wise algorithm that extends TANE, a well-known algorithm for mining FDs. The other, refe ...
Design and implementation of Multi Dimensional Data
Design and implementation of Multi Dimensional Data

... with read only operation. OLAP tools are based on Multidimensional datamodel. The model views the data in the form of data cube. The data cube allows data to be modeled and viewed in multiple dimensions. It is defined by dimensions and facts. In general terms, dimensions are the perspectives or enti ...
auth3in
auth3in

... which are extremely diverse in nature (we name them “multiform data”), may be unstructured, structured, or even already organized in databases. Their availability in large quantities and their complexity render their structuring and exploitation difficult. Nonetheless, the concepts of data warehousi ...
Blame Trees - Edward Z. Yang
Blame Trees - Edward Z. Yang

... out, and the result of the merge relies on the diffs between the base and source and between the base and target. These diffs are split into changed and unchanged segments, which are then used to build the new document. There are a few elaborations on the basic three-way merge. In the case of multip ...
Rendering scenes
Rendering scenes

Scheduling Algorithms
Scheduling Algorithms

... The sorted list of object storage servers is also used, same as in the MLML algorithm.  For a given I/O request, two object storage servers will be randomly chosen from the top half of all object storage servers. The top half indicates M servers that have lighter loads.  A threshold is used to d ...
Data Sheet New Storage Strategies to Meet Higher Education
Data Sheet New Storage Strategies to Meet Higher Education

ETL - GeekInterview.com
ETL - GeekInterview.com

... stream. For example: looking up a value on record 1 at the same time as adding two fields on record 2. Component: The simultaneous running of multiple processes on different data streams in the same job, for example, sorting one input file while removing duplicates on another file. ...
14. Lorel
14. Lorel

... Overall site structure may change often. It would be nice to be able to query a web site. ...
PreAP Algebra I
PreAP Algebra I

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Operational transformation

Operational transformation (OT) is a technology for supporting a range of collaboration functionalities in advanced collaborative software systems. OT was originally invented for consistency maintenance and concurrency control in collaborative editing of plain text documents. Two decades of research has extended its capabilities and expanded its applications to include group undo, locking, conflict resolution, operation notification and compression, group-awareness, HTML/XML and tree-structured document editing, collaborative office productivity tools, application-sharing, and collaborative computer-aided media design tools (see OTFAQ). In 2009 OT was adopted as a core technique behind the collaboration features in Apache Wave and Google Docs.
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