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Web performance tests are included in load tests to measure the performance of your web application under the stress of multiple users. You record a web performance test by browsing a website as if you were the end user.

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.

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

Embedding¶ To de-normalize data, store two related pieces of data in a single document. Operations within a document are less expensive for the server than operations that involve multiple documents. In general, use embedded data models when: you have “contains” relationships between entities. See Model Embedded One-to-One Relationships Between Documents. you have one-to-many relationships where the “many” objects always appear with or are viewed in the context of their parent documents. See Model Embedded One-to-Many Relationships Between Documents. Embedding provides the following benefits: generally better performance for read operations. the ability to request and retrieve related data in a single database operation.

Referencing¶ To normalize data, store references between two documents to indicate a relationship between the data represented in each document. In general, use normalized data models: when embedding would result in duplication of data but would not provide sufficient read performance advantages to outweigh the implications of the duplication. to represent more complex many-to-many relationships. to model large hierarchical data sets. See Model Tree Structures in MongoDB. Referencing provides more flexibility than embedding; however, to resolve the references, client-side applications must issue follow-up queries. In other words, using references requires more roundtrips to the server.

Visual Studio 2012 includes the following command-line tools for testing purposes: VSTest.Console.exe You can use the VSTest.Console.exe program to run automated unit and coded UI tests from a command line. VSTest.Console.exe is optimized for performance and is used in place of MSTest.exe in Visual Studio 2012. MSTest.exe You can use the MSTest.exe program to run automated tests in a test assembly from a command line. MSTest is used for load tests and for compatibility with Visual Studio 2010 test projects. MSTest can also be used to view the test results from these test runs, save the results to disk, and save your results to Team Foundation Server. TCM.exe Tcm.exe is a command-line utility that lets you perform the following tasks: Import automated tests into a test plan Run tests that are part of a test plan from the command line View a list of test items and their corresponding IDs to use when you import tests or run tests You can also use tcm.exe to run test cases with associated automation from the command line using a test environment.

The Apache JMeter™ desktop application is open source software, a 100% pure Java application designed to load test functional behavior and measure performance. It was originally designed for testing Web Applications but has since expanded to other test functions

Disease or patient registries are collections of secondary data related to patients with a specific diagnosis, condition, or procedure

from simple spreadsheets that only can be accessed by a small group of physicians to very complex databases that are accessed online across multiple institutions.

An electronic medical record keeps track of all the patients a doctor follows but a registry only keeps track of a small sub population of patients with a specific condition.

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.

Seamless integration with “Big Data” using PolyBase.

Up to 50x performance gains with the xVelocity updateable columnstore.

One pretty easy way to include some “built-in” database documentation for your databases (which could be the beginnings of a data dictionary) is to add extended properties on your objects.

ACO quality reporting

2014 reporting period narrative measure specifications for the 33 quality measures are available and can be accessed in the following file: 2014 Reporting – ACO Measure Narratives [PDF, 375KB]

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.

Unleash Targeted Insights through Advanced Analytics As hospitals and health systems continue to improve the patient experience, it can be more challenging to identify specific initiatives to drive improvement. Press Ganey’s advanced analytics help health care leaders spark new initiatives by viewing opportunities through a new lens. Sophisticated techniques, such as segmentation, text analysis, multi-dimensional modeling and cluster analysis, evaluate multiple dimensions to uncover relationships, patterns and new insights to reveal targeted opportunities to improve

You can use jQuery's load() function to load the HTML page you want to test. In your JSTestDriver test function: $('html').load('pageToLoad.html', function() { // load was performed - run your asserts here now }); However, since this uses a callback function, you might have to use an Async Test Case.

Dimensional Insight's Diver Solution Recognized by KLAS as Healthcare BI Leader Dimensional Insight's Diver Solution™ has received top honors from KLAS in their annual Performance Report for Business Intelligence software and services entitled Healthcare Analytics: Making Sense of the Puzzle Pieces. KLAS, an independent research firm dedicated to helping healthcare providers make informed technology decisions, named Diver the top BI tool set. Dimensional Insight is the only vendor recognized by KLAS as a healthcare BI leader for 4 consecutive years.