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By default the API return XML, but we’ll use JSON here, as it’s also becoming a standard. To do so we must add  the following code in the register() method located in the file WebApiConfig.cs config.Formatters.XmlFormatter.SupportedMediaTypes.Remove( config.Formatters.XmlFormatter.SupportedMediaTypes.FirstOrDefault(t => t.MediaType == 'application/xml'));

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

To meet that goal, we have created a new R package, RImpala, which connects Impala to R. RImpala enables querying the data residing in HDFS and Apache HBase from R, which can be further processed as an R object using R functions. RImpala is now available for download from the Comprehensive R Archive Network (CRAN) under GNU General Public License (GPL3).

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.

With loads of legacy Flash/Flex code where test automation support is limited or in most cases even non-existing there is only so much that can be done in forms of automation.

In short, unless you want to read it from Project Sikuli. Sikuli can match a predefined image to a section of the screen that is VERY similar to predefined image, ‘best fit’. So for example if you take a small screenshot of an object in you Flash implementation and save it as an image Sikuli can then be used to interact with this object, clicking on it, dragging it, checking if it can find it on the page asf..

Effectively managing data means focusing on operational capture, decision support-oriented consumption, and data governance.

This topic describes how to install and configure a test controller, and how to configure test agents so that you can run tests in a lab environment using Microsoft Test Manager.

rting System  >  Physician Quality Reporting System Physician Quality Reporting System Spotlight How To Get Started CMS Sponsored Calls Statute Regulations Program Instructions ICD-10 Section Measures Codes Registry Reporting Electronic Health Record Reporting CMS-Certified Survey Vendor Qualified Clinical Data Registry Reporting Group Practice Reporting Option GPRO Web Interface Maintenance of Certification Program Incentive Analysis and Payment Payment Adjustment Information Educational Resources Help Desk Support 2011 Physician Quality Reporting System 2012 Physician Quality Reporting System 2013 Physician Quality Reporting System Physician Quality Reporting System Physician Quality Reporting System (Physician Quality Reporting or PQRS) formerly known as the Physician Quality Reporting Initiative (PQRI)

A tutorial on how to use RestEasy with MongoDB in order to create RESTful web services

How to do it... Create your entities first. This example consists of a user, an address, and a SuperSecretData entity: @Entitypublic class User extends Model { @SerializedName("userLogin") public String login; @NoJsonExport public String password; @ManyToOne public Address address; @OneToOne public SuperSecretData secrets; public String toString() { return id + "/" + login; }}@Entitypublic class Address extends Model { public String street; public String city; public String zip;}@Entitypublic class SuperSecretData extends Model { public String secret = "foo";}