HealthcareMetadata

Mocha is a feature-rich JavaScript test framework running on node.js and the browser, making asynchronous testing simple and fun. Mocha tests run serially, allowing for flexible and accurate reporting, while mapping uncaught exceptions to the correct test cases.

This plug-in adds support to TAP test result files to Jenkins. It lets you specify an ant-like pattern for a directory that contains your TAP files. TAP Plug-in has only one dependency, tap4j - a TAP implementation for Java. 

tappy provides tools for working with the Test Anything Protocol (TAP) in Python. tappy generates TAP output for your unittest test cases. You can use the TAP output files with a tool like the Jenkins TAP plugin or any other TAP consumer

import unittestimport osimport sqlalchemy import myapp class TestDB(unittest.TestCase): def setUp(self): url = os.getenv("DB_TEST_URL") if not url: self.skipTest("No database URL set") self.engine = sqlalchemy.create_engine(url)  def test_foobar(self): self.assertTrue(myapp.store_integer(self.engine, 42))

import unittestimport osimport sqlalchemy import myapp class TestDB(unittest.TestCase): def setUp(self): url = os.getenv("DB_TEST_URL") if not url: self.skipTest("No database URL set") self.engine = sqlalchemy.create_engine(url)  def test_foobar(self): self.assertTrue(myapp.store_integer(self.engine, 42))

import unittestimport osimport sqlalchemy import myapp class TestDB(unittest.TestCase): def setUp(self): url = os.getenv("DB_TEST_URL") if not url: self.skipTest("No database URL set") self.engine = sqlalchemy.create_engine(url)  def test_foobar(self): self.assertTrue(myapp.store_integer(self.engine, 42))

Dr. Kimball explains how Hadoop can be both: A destination data warehouse, and also An efficient staging and ETL source for an existing data warehouse

Building a Hadoop Data Warehouse: Hadoop 101 for EDW Professionals Dr. Ralph Kimball explains how Hadoop can be both a destination data warehouse, and also an efficient staging and ETL source for an existing data warehouse. Learn how enterprise conformed dimensions can be used as the basis for integrating Hadoop and conventional data warehouses.

Fact tables are the foundation of the data warehouse. They contain the fundamental measurements of the enterprise, and they are the ultimate target of most data warehouse queries.

The grain is the business definition of what a single fact table record represents.

the grain is the description of the measurement event in the physical world that gives rise to a measurement.

In any big data setup, the first step is to capture lots of digital information, "which there's no shortage of

The purpose of descriptive analytics is to summarize what happened. Wu estimated that more than 80% of business analytics -- most notably social analytics -- are descriptive.

In the most general cases of predictive analytics, "you basically take data that you have to predict data you don't have,"

In computing and data management, data mapping is the process of creating data element mappings between two distinct data models. Data mapping is used as a first step for a wide variety of data integration

A Schema crosswalk is a table that shows equivalent elements (or "fields") in more than one database schema. It maps the elements in one schema to the equivalent elements in another schema.

This type of "translating" from one format to another is often called "metadata mapping" or "field mapping," and is related to "data mapping," and "semantic mapping."

The ADRM Software Healthcare Services Provider models consists of a set of integrated Enterprise, Business Area and Data Warehouse data models developed for organizations in the healthcare service provider industry. The focus of these models is to provide a blueprint of the complex data required to support a variety of applications, analytics and information services for health plan service providers. ·  Service Provider ·  Encounter ·  Claim ·  Patient ·  Service ·  Facility ·  Insurer ·  Health Plan

P6Spy lets you monitor the JDBC queries by proxying your database driver. In addition to logging the prepared statements, it also logs the sql with parameters in place so you can copy and paste the exact sql into your favourite database client to test the results.

Code Issues 56 Pull Requests 18 Pulse Graphs Network HTTPS clone URL Subversion checkout URL You can clone with HTTPS or Subversion. Clone in Desktop Download ZIP Minimalistic BDD-style assertions for Node.JS and the browser.

YUI Test is a complete testing framework for JavaScript and Web applications. You can use the simple JavaScript syntax to write unit tests that can be run in web browsers or on the command line, as well as functional tests to be run in web browsers. Additional tools that build on top of the JavaScript library's core functionality allow integration with build systems.

QUnit is a powerful, easy-to-use JavaScript unit testing framework. It's used by the jQuery, jQuery UI and jQuery Mobile projects and is capable of testing any generic JavaScript code, including itself!

asmine is a behavior-driven development framework for testing JavaScript code. It does not depend on any other JavaScript frameworks. It does not require a DOM. And it has a clean, obvious syntax so that you can easily write tests.