Major data breaches at Target, home depot and jpmorgan, which collectively exposed the information of hundreds of millions of consumers and cost the companies millions of dollars, have heightened businesses concerns that they could be next. The sony hack served to demonstrate the breadth of the risk, forcing industries not typically targeted by digital criminals to ask themselves: What do we insure? For a rapidly increasing number, the answer is: everything. Every major breach gets companies off the sidelines and moves them towards purchasing, said Matthew McCabe, a senior vice president with Marshs network security and data privacy division. When a hack is in the news, McCabe gets calls from companies he had previously spoken with about cyber insurance. He said they often ask him, you know those"s you brought to us, are those still good?
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(a painless Introduction to olap technology. "Cybertec releases olap cubes for Postgresql". "Oracle9i data warehousing guide hierarchy". a b c d e f "olap and olap server Definitions". "Glossary of Data mining Terms".
"Computer Encyclopedia: multidimensional views". a b Gray, jim ; Bosworth, Adam; layman, Andrew; Priahesh, hamid. 12th International Conference on Data Engineering. To the extent permitted by applicable laws and regulations, sidra medical and Research Center sidra" or "we collect, use and disclose your personal information in accordance with the principles set out below. By submitting your cv or job application, you acknowledge that any personal or other information you supply to us may be used by sidra to assess, evaluate and check your candidacy. You further acknowledge that we may make copies, reproduce, organise, modify, and analyse the information supplied for the purposes of making a selection decision. You expressly acknowledge that submitting your application does not mean that you will be contacted for an interview or that you will be made an offer of employment. We reserve the right to discontinue the recruitment process at any stage.
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Given a relation of order n, consider a projection that subtends x, y, and z as the key and w as the residual attribute. Characterizing this as a function, f : ( x, y, z ) w, the attributes x, y, and Z correspond to the axes of the cube, while the w value into which each ( x, y, z ) triple maps corresponds to the data element. Insofar as two-dimensional output devices cannot readily characterize three dimensions, it is more practical to project "slices" of the data cube (we say project in the classic vector analytic sense of dimensional reduction, not in the sql sense, although the two are conceptually similar. The motivation 8 behind olap displays harks back to the cross-tabbed report paradigm owl of 1980s dbms. The resulting spreadsheet-style display, where values of X populate row 1; values of Y populate column A; and values of g : ( x, y ) w populate the individual cells "southeast of" B2, so to speak, b2 itself included. See also edit references edit gray, jim; Bosworth, Adam; layman, Andrew; Pirahesh, hamid (1996). "Data cube: a relational write Aggregation Operator Generalizing Group-by, cross-Tab, and Sub-Totals". Proceedings of the International Conference on Data Engineering (icde). "Just What Are cubes Anyway?
Olap drill-up and drill-down Drill Down/Up allows the user to navigate among levels of data ranging from the most summarized (up) to the most detailed (down). 5 The picture shows a drill-down operation: The analyst moves from the summary category "Outdoor-Schutzausrüstung" to see the sales figures for the individual products. Roll-up : A roll-up involves summarizing the data along a dimension. The summarization rule might be computing totals along a hierarchy or plan applying a set of formulas such as "profit sales - expenses". 5 olap pivoting pivot allows an analyst to rotate the cube in space to see its various faces. For example, cities could be arranged vertically and products horizontally while viewing data for a particular quarter. Pivoting could replace products with time periods to see data across time for a single product. 5 7 The picture shows a pivoting operation: The whole cube is rotated, giving another perspective on the data. Mathematical definition edit In database theory, an olap cube is 8 an abstract representation of a projection of an rdbms relation.
data content with a familiar visualization enhances analyst learning and productivity. 5 The user-initiated process of navigating by calling for page displays interactively, through the specification of slices via rotations and drill down/up is sometimes called "slice and dice". Common operations include slice and dice, drill down, roll up, and pivot. Olap slicing Slice is the act of picking a rectangular subset of a cube by choosing a single value for one of its dimensions, creating a new cube with one fewer dimension. 5 The picture shows a slicing operation: The sales figures of all sales regions and all product categories of the company in the year 20re "sliced" out of the data cube. Olap dicing Dice : The dice operation produces a subcube by allowing the analyst to pick specific values of multiple dimensions. 6 The picture shows a dicing operation: The new cube shows the sales figures of a limited number of product categories, the time and region dimensions cover the same range as before.
A cube is not a "cube" in the strict mathematical sense, as all the sides are not necessarily equal. But this term is used widely. Slicer is a term for a dimension which is held constant for all cells so that multi-dimensional information can be shown in a two-dimensional physical space of a spreadsheet or pivot table. Each cell of the cube holds a number that represents some measure of the business, such as sales, profits, expenses, budget and forecast. Olap data is typically stored in a star schema or snowflake schema in a relational data warehouse or in a special-purpose data management system. Measures are derived from the records in the fact table and dimensions are derived from the dimension tables. Hierarchy edit The elements of a dimension can be organized as a hierarchy, 4 a set of parent-child relationships, typically where a parent member summarizes its business children. Parent elements can further be aggregated as the children of another parent. 5 For example, may 2005's parent is Second quarter 2005 which is in turn the child of year 2005.
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An example of an olap cube. In database engineering in computing, olap cube is a term that typically refers to a multi-dimensional array of data. 1, olap is an acronym for online analytical processing, 2 which is a computer-based technique of analyzing data to look for insights. The term cube here refers to a multi-dimensional dataset, which is also sometimes called a hypercube if the number with of dimensions is greater than. Contents, terminology edit, a cube can be considered a multi-dimensional generalization of a two- or three-dimensional spreadsheet. For example, a company might wish to summarize financial data by product, by time-period, and by city to compare actual and budget expenses. Product, time, city and scenario (actual and budget) are the data's dimensions. 3, cube is a shorthand for multidimensional dataset, given that data can have an arbitrary number of dimensions. The term hypercube is sometimes used, especially for data with more than three dimensions.