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Data as a service - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Data_as_a_service
shared by Malcolm McRoberts on 08 Sep 13 - No Cached
  • Data provided as a service was at first primarily used in Web mashups, but now is being increasingly employed both commercially and, less commonly, within organisations such as the UN.[4]
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Social data analysis - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...borative_Business_Intelligence
shared by Malcolm McRoberts on 08 Sep 13 - No Cached
  • Social data analysis is a style of analysis in which people work in a social, collaborative context to make sense of data.
  • University of Windsor is one of such universities to introduce interdisciplinary approach in Social Data Analysis by starting their Master's program in Social Data Analysis.
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Parallel Data Warehouse | Microsoft SQL Server 2012 - 0 views

www.microsoft.com/...pdw.aspx
shared by Malcolm McRoberts on 28 Aug 13 - No Cached
  • Seamless integration with “Big Data” using PolyBase.
  • Up to 50x performance gains with the xVelocity updateable columnstore.
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My Library - 0 views

www.diigo.com/dqrnkuy
shared by Malcolm McRoberts on 28 Aug 13 - No Cached
  • I was having the same issue recently with IE10, added a timeout and got the result I wanted, the iFrame printed out instead of the parent page: <script type="text/javascript"> function selfPrint(){ self.focus(); self.print(); } setTimeout('selfPrint()',2000); </script> share|improve this answer answered Jan 23 at 23:14 James Moberg 30927 the timeout doesn't even have to be that long. – gawpertron Jan 24 at 14:08 1   This solved my problem too, but can someone explain why it works? – Todd Gibson Feb 7 at 18:19
  • Print iframe in IE
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Data mart - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/Data_mart
shared by Malcolm McRoberts on 08 Aug 13 - Cached
  • A data mart is the access layer of the data warehouse environment that is used to get data out to the users. The data mart is a subset of the data warehouse that is usually oriented to a specific business line or team. Data marts are small slices of the data warehouse
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Data warehouse - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Data_warehouse
shared by Malcolm McRoberts on 07 Aug 13 - Cached
  • In computing, a data warehouse or enterprise data warehouse (DW, DWH, or EDW) is a database used for reporting and data analysis. It is a central repository of data which is created by integrating data from one or more disparate sources. Data warehouses store current as well as historical data and are used for creating trending reports for senior management reporting such as annual and quarterly comparisons.
  • Data warehouses can be subdivided into data marts. Data marts store subsets of data from a warehouse.
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Online analytical processing - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Online_analytical_processing
shared by Malcolm McRoberts on 07 Aug 13 - Cached
  • The usual interface to manipulate an OLAP cube is a matrix interface like Pivot tables
  • MOLAP stores this data in an optimized multi-dimensional array storage, rather than in a relational database
  • The problem of deciding which aggregations (views) to calculate is known as the view selection problem. View selection can be constrained by the total size of the selected set of aggregations, the time to update them from changes in the base data, or both. The objective of view selection is typically to minimize the average time to answer OLAP queries, although some studies also minimize the update time
  • ...1 more annotation...
  • Comparison[edit source | editbeta] Each type has certain benefits, although there is disagreement about the specifics of the benefits between providers. Some MOLAP implementations are prone to database explosion, a phenomenon causing vast amounts of storage space to be used by MOLAP databases when certain common conditions are met: high number of dimensions, pre-calculated results and sparse multidimensional data. MOLAP generally delivers better performance due to specialized indexing and storage optimizations. MOLAP also needs less storage space compared to ROLAP because the specialized storage typically includes compression techniques.[15] ROLAP is generally more scalable.[15] However, large volume pre-processing is difficult to implement efficiently so it is frequently skipped. ROLAP query performance can therefore suffer tremendously. Since ROLAP relies more on the database to perform calculations, it has more limitations in the specialized functions it can use. HOLAP encompasses a range of solutions that attempt to mix the best of ROLAP and MOLAP. It can generally pre-process swiftly, scale well, and offer good function support.
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MultiDimensional eXpressions - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/...Multidimensional_Expressions
shared by Malcolm McRoberts on 07 Aug 13 - Cached
  • Multidimensional Expressions (MDX) is a query language for OLAP databases, much like SQL is a query language for relational databases. It is also a calculation language, with syntax similar to spreadsheet formulas.
  • The specification was quickly followed by commercial release of Microsoft OLAP Services 7.0 in 1998 and later by Microsoft Analysis Services.
  • While it was not an open standard, but rather a Microsoft-owned specification, it was adopted by the wide range of OLAP vendors. This included both vendors on the server side such as Applix, icCube, MicroStrategy, NCR, Oracle Corporation, SAS, SAP, Teradata, Symphony Teleca, and vendors on the client side such as Panorama Software, PowerOLAP, XLCubed, Proclarity, AppSource, Jaspersoft, Cognos, Business Objects, Brio Technology, Crystal Reports, Microsoft Excel, and Microsoft Reporting Services.
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OLAP cube - Wikipedia, the free encyclopedia - 0 views

en.wikipedia.org/OLAP_cube
shared by Malcolm McRoberts on 07 Aug 13 - Cached
  • A cube can be considered a generalization of a three-dimensional spreadsheet.
  • Each cell of the cube holds a number that represents some measure of the business
  • 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.
  • ...2 more annotations...
  • The elements of a dimension can be organized as a hierarchy,[4]
  • 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
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The RDF Data Cube Vocabulary - 0 views

www.w3.org/...WD-vocab-data-cube-20130312
shared by Malcolm McRoberts on 07 Aug 13 - No Cached
  • publish multi-dimensional data, such as statistics, on the web in such a way that it can be linked to related data sets and concepts.
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XEP-0295: JSON Encodings for XMPP - 0 views

xmpp.org/xep-0295.html
shared by Malcolm McRoberts on 02 May 13 - No Cached
  • Example 4. XML-encoded Message with Security Label<message to='romeo@example.net' from='juliet@example.com/balcony'>    <body>This content is classified.</body>    <securitylabel xmlns='urn:xmpp:sec-label:0'>        <displaymarking fgcolor='black' bgcolor='red'>SECRET</displaymarking>        <label><esssecuritylabel xmlns='urn:xmpp:sec-label:ess:0'>            MQYCAQQGASk=        </esssecuritylabel></label>    </securitylabel></message>  Example 5. JSON-encoded Message with Security Label{"s":"<message to='romeo@example.net' from='juliet@example.com/balcony'><body>This content is classified.</body><securitylabel xmlns='urn:xmpp:sec-label:0'><displaymarking fgcolor='black' bgcolor='red'>SECRET</displaymarking><label><esssecuritylabel xmlns='urn:xmpp:sec-label:ess:0'>MQYCAQQGASk=</esssecuritylabel></label></securitylabel></message>"} 
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Getting a diff of two JSON strings using Java code - Stack Overflow - 0 views

stackoverflow.com/...o-json-strings-using-java-code
shared by Malcolm McRoberts on 25 Apr 13 - No Cached
  • I had the exact same problem and ended up writing my own library: https://github.com/algesten/jsondiff It does both diffing/patching. Diffs are JSON-objects themselves and have a simple syntax for object merge/replace and array insert/replace. Example: original { a: { b: 42 } } patch { "~a" { c: 43 } } The ~ indicates an object merge. result { a: { b: 42, c: 43 } }
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