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Malcolm McRoberts

SQLServer Architecture,Benchmarking&Performance Optimization,DisasterRecovery,HighAvail... - 0 views

  • The logical data model includes the following entities: ■ Reference Entities ■ Lookup Entities ■ Base Entities ■ Derived Entities ■ Aggregate Entities
  • Data in the base entities support the derived and aggregate layers to facilitate Star and population, and act as a source for Data Mining for advanced analysis.
Malcolm McRoberts

BI Platform Analytics | Business Intelligence | SAP - 0 views

  • This offering is a complete analytics platform that combines market-leading data integration, data management, and business intelligence (BI) products, pre-certified to run together – for a more effective way to harness big data.
  • zed Analytics Server Analyze massive quantities of data 100 times faster than traditional relational databases – for more accurate insight into performance and market dynamics. Run big data analytics with unsurpassed query performance – for faster decision making Uncover new ways to reduce overhead, storage costs, and maintenance spend Offer accurate, timely information to end users across the organization Gain greater scalability with an open, flexible, column-based architecture SAP Sybase IQ .multilinkwidget a.btn-doc{ padding-bottom:10px; } $(document).ready(function(){ setTimeout(function() { if($("td em button.x-btn-text", $("tr.x-toolbar-left-row")).length > 0) $("td em button.x-btn-text", $("tr.x-toolbar-left-row")).each(function() { if($(this).html()== 'Edit' && $("td em button.x-btn-text", $(this).parents("td.x-toolbar-cell").next()).html() == 'Manage Links'){ $(this).parent().parent().parent().parent().remove(); } }); },3000); }); Less Business Intelligence Platform Make it easy to discover and share insight with a business intelligence platform that gives you flexibility, scalability, and function. Increase the range of data accessible to business users Reduce IT workload with simplified maintenance and administration options Integrate all enterprise data regardless of format or location Centrally manage, control, and configure your BI deployment SAP BusinessObjects BI Platform .multilinkwidget a.btn-doc{ padding-bottom:10px; } $(document).ready(function(){ setTimeout(function() { if($("td em button.x-btn-text", $("tr.x-toolbar-left-row")).length > 0) $("td em button.x-btn-text", $("tr.x-toolbar-left-row")).each(function() { if($(this).html()== 'Edit' && $("td em button.x-btn-text", $(this).parents("td.x-toolbar-cell").next()).html() == 'Manage Links'){ $(this).parent().parent().parent().parent().remove(); } }); },3000); }); Less $(document).ready(function() { // Expand all content by default // $('.rmuc_expandableLI').each(function () { $(this).css('height', 'auto'); }); });
  • Highly Optimized Analytics Server Analyze massive quantities of data 100 times faster than traditional relational databases – for more accurate insight into performance and market dynamics.
Malcolm McRoberts

Online analytical processing - Wikipedia, the free encyclopedia - 0 views

  • 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
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  • 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.
Malcolm McRoberts

MongoDB, BI and non-Relational Databases | SmartData Collective - 0 views

  • When considering implementing Operational BI solutions, many implementers first think of copying the operational data to an operational data store (ODS), data warehouse or data mart and analysing it there.  They are immediately faced with the problem of how to update the informational environment fast enough to satisfy the timeliness requirement of the users.  As that approaches real-time, traditional ETL tools begin to struggle.  Furthermore, in the case of the data warehouse, the question arises of the level of consistency among these real-time updates and between the updates and the existing content.  The way MongoDB is used points immediately to an alternative, viable approach--go directly against the operational data.
  • In the case of Operational BI, however, most experience indicates that the queries are usually relatively simple, and closely related to the primary access paths used operationally for the data concerned.
Malcolm McRoberts

Integrating R with Cloudera Impala for Real-Time Queries on Hadoop | BigHadoop - 0 views

  • R is one of the most popular open source statistical computing and graphical software. It can work with various data sources from comma separated files to web contents referred by URLs to relational databases to NoSQL (e.g. MongoDB or Cassandra) and Hadoop.
Malcolm McRoberts

MongoDB Subscriptions | 10gen - 0 views

  • How to Buy Contact sales to learn more about MongoDB Commercial Subscriptions, and how to buy. MongoDB Subscriptions Basic Standard Enterprise Edition MongoDB MongoDB MongoDB Enterprise SLA 4 Hours 1 Hour 30 Minutes Support 9am – 9pm local, M – F 24 x 7 x 365 24 x 7 x 365 License AGPL Commercial Commercial Emergency Patches Not Included Included Included Price $2,500 / Server / Year $5,000 / Server / Year $7,500 / Server / Year
  • Commercial License. Enterprises with restrictions around the AGPL license or those interested in OEM applications may prefer a standard commercial license, which is included in the MongoDB Standard and Enterprise Subscriptions.
  • MongoDB Enterprise is tested and certified on Red Hat
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  • advanced security, purpose-built monitoring
  • MongoDB Subscriptions provide 24x7 access to support. Customers can ask 10gen's MongoDB experts an unlimited number of questions at any time of day.
  • Only data-bearing (i.e., mongod) nodes require server licenses
Malcolm McRoberts

Ways to implement data versioning in MongoDB - Stack Overflow - 0 views

  • Ways to implement data versioning in MongoDB
  • will be used infrequently will be used all at once to present it in a "time machine" fashion there won't be more versions than few hundred to a single record. history won't expire.
  • My personal approach would be to store diffs. Because the display of these diffs is really a special action, I would put the diffs in a different "history" collection.
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  • There is a versioning scheme called "Vermongo" which addresses some aspects which haven't been dealt with in the other replies.
Malcolm McRoberts

Online Data Science Master's Degrees | Data Analytics & IT | UMUC - 0 views

  • The Master of Science in Data Analytics is designed to help you learn to manipulate data for insights that drive decisions. The Master of Science in Information Technology with a Database Systems Technology specialization focuses on developing the IT solutions that support an organization's data needs—big or small.
  • Learn online any time as you balance your job, family, and education.
Malcolm McRoberts

What is Master Data? | Semarchy - 0 views

  • “Master Data is your business critical data that is stored in disparate systems spread across your Enterprise.”
  • Parties: represents all parties the enterprise conducts business with such as customers, prospects, individuals, suppliers, partners, etc. Places: represents the physical places and their segmentations such as geographies, locations, subsidiaries, sites, areas, zones, etc. Things: usually represents what the enterprise actually sells such as products, services, packages, items, financial services, etc. Financial and Organizational: represents all roll-up hierarchies used in many places for reporting and accounting purposes such as organization structures, sales territories, chart of accounts, cost centers, business units, profit centers, price lists, etc.
  • Transactional Data such as purchase orders, invoices or financial statements, is not usually considered master data since it actually registers a “fact” that happened at a certain point in time.
Malcolm McRoberts

Metadata registry - Wikipedia, the free encyclopedia - 0 views

  • Common characteristics of a metadata registry A metadata registry typically has the following characteristics: Protected environment where only authorized individuals may make changes Stores data elements that include both semantics and representations Semantic areas of a metadata registry contain the meaning of a data element with precise definitions Representational areas of a metadata registry define how the data is represented in a specific format, such as in a database or a structured file format (e.g., XML)
  • ISO 11179
  • A metadata registry is a central location in an organization where metadata definitions are stored and maintained in a controlled method.
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  • Metadata registries are used whenever data must be used consistently within an organization or group of organizations
  • Organizations that need consistent definitions of data across time, between databases, between organizations or between processes, for example when an organization builds a data warehouse
Malcolm McRoberts

My Library - 0 views

  • 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
Malcolm McRoberts

Healthways - Success - Science-Based Outcomes - Maximizing Care Management Savings thro... - 0 views

  • The challenge is to identify individuals for whom intervention can make a difference and find intervention opportunities at the right time: before adverse health outcomes escalate medical costs.
  • Maximizing Care Management Savings through Advanced Total Population Targeting
  • PREDICTIVE MODELING FOR ACCURATE POPULATION TARGETING • Advanced Methodology, Focused Models) • Targeted Interventions) • Testing and Validation)
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  • Predictive modeling can improve the targeting of care management programs by mathematically determining the likelihood of defined outcomes, Healthways uses multiple models to:
Malcolm McRoberts

Improvement Portal | Press Ganey - 0 views

  • The Press Ganey Improvement Portal (patent pending) provides organizations with insights into the voice of their patients across the continuum of care through easy-to-use online dashboards and reports.
  • Set targets and view comparative performance based on Press Ganey's proprietary database – the largest real-time HCAHPS and patient satisfaction database in the industry.
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