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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

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)

Data governance is an emerging discipline with an evolving definition. The discipline embodies a convergence of data quality, data management, data policies, business process management, and risk management surrounding the handling of data in an organization. Through data governance, organizations are looking to exercise positive control over the processes and methods used by their data stewards and data custodians to handle data.

Data governance tools[edit] Leaders of successful data governance programs declared in December 2006 at the Data Governance Conference in Orlando, Fl, that data governance is between 80 and 95 percent communication.”[6] That stated, it is a given that many of the objectives of a Data Governance program must be accomplished with appropriate tools. Many vendors are now positioning their products as Data Governance tools; due to the different focus areas of various data governance initiatives, any given tool may or may not be appropriate, in addition, many tools that are not marketed as governance tools address governance needs.[7]

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

Powerful IDE for R RStudio IDE is a powerful and productive user interface for R. It’s free and open source, and works great on Windows, Mac, and Linux.

Web framework for R Shiny is an elegant and powerful web framework for building interactive reports and visualizations using R — with or without web development skills.

Open source R packages Our developers and expert trainers are the authors of several popular R packages, including ggplot2, plyr, lubridate, and others.

QLDoc Sharp is an interactive tool designed to generate the SQL Server 2005/2008 documentation. It allows you to export documentation to CHM format (Microsoft Compiled HTML Help).It is also easy and interactive, which allows multiple database documentation. For more details, please refer to http://www.amitchaudhary.com/. Background Finding the answer to, "Is there any free tool for generating documentation from SQL 2005/2008". Using the Code After running the application, the initial UI looks like below: Three steps required to generate the documentation. Step # 1 In the top section, provide the details about the SQL Server. It includes: Source: Instance Name of the SQL Server 2005/2008  If want to connect with SQL authentication then: User Name: Name of the user whose credentials you want to use Password: Password of the user whose credentials you want to use In case, to connect with Windows authentication then, only check the checkbox   (Integrated Security) and your current Windows credentials would be used to connect with the specified SQL Server Instance. Step # 2 Choose the database name from the Database dropdown list, whose documentation you want to generate and then click on the Fetch button. Meanwhile you can choose/change the File Name of the CHM file which would be generated. And also if required, you then choose to export the metadata/documentation in the XML format too. Step # 3 Click on the Generate button. And locate the CHM file at the path specified. After making the selection the SQLDoc Sharp, the UI should look like: Screen Shots of the Documentation Generated Index

SQLDoc Sharp is an interactive tool designed to generate the SQL Server 2005/2008 documentation.

we promise that your client application which uses the database is a separate work. To facilitate this, the mongodb.org supported drivers (the part you link with your application) are released under Apache license, which is copyleft free.

MongoDB Database Server and Tools¶ Free Software Foundation’s GNU AGPL v3.0. Commercial licenses are also available from 10gen, including free evaluation licenses. Drivers¶ mongodb.org supported drivers: Apache License v2.0. Third parties have created drivers too; licenses will vary there.

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.

Each nominal ledger account is unique to allow its ledger to be located

A chart of accounts (COA) is a created list of the accounts used by an organization to define each class of items for which money or the equivalent is spent or received. It is used to organize the finances of the entity and to segregate expenditures, revenue, assets and liabilities in order to give interested parties a better understanding of the financial health of the entity.

Types of accounts[edit] Asset accounts: represent the different types of economic resources owned or controlled by business, common examples of Asset accounts are cash, cash in bank, building, inventory, prepaid rent, goodwill, accounts receivable[1] Liability accounts: represent the different types of economic obligations by a business, such as accounts payable, bank loan, bonds payable, accrued interest.[citation needed] Equity accounts: represent the residual equity of a business (after deducting from Assets all the liabilities) including Retained Earnings and Appropriations.[citation needed] Revenue accounts or income: represent the company's gross earnings and common examples include Sales, Service revenue and Interest Income.[citation needed] Expense accounts: represent the company's expenditures to enable itself to operate. Common examples are electricity and water, rentals, depreciation, doubtful accounts, interest, insurance.[citation needed] Contra-accounts: Some balance sheet items have corresponding contra accounts, with negative balances, that offset them. Examples are accumulated depreciation against equipment, and allowance for bad debts against long-term notes receivable.

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";}

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>"} 

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]

A data dictionary, or metadata repository, as defined in the IBM Dictionary of Computing, is a "centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format."[1]

Data models are often used as an aid to communication between the business people defining the requirements for a computer system and the technical people defining the design in response to those requirements. They are used to show the data needed and created by business processes.

A data model explicitly determines the structure of data. Data models are specified in a data modeling notation, which is often graphical in form.[3]

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.

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.

Visual Studio Editions' Support for SQL Server Unit Tests The SQL Server unit tests feature, which was added in the December 2012 update of SQL Server Data Tools, allows you to create, modify, and run SQL Server unit tests in Visual Studio 2010 Professional and Visual Studio 2012 Professional and higher editions.

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,"