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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

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)

Modeling friend of friend relationships in MongoDB

"When a document's stored value for a index key field is an array, MongoDB indexes each element of the array. See the Multikeys page for more information." so to find all of "alex"'s friends I can just do: db.user.find( { 'friends' : '4e77bb3b8a3e000000004f7a'});

Multidimensional Expressions (MDX) is a query language for OLAP databases, much like SQL is a query language for relational databases. It is also a calculation language, with syntax similar to spreadsheet formulas.

The specification was quickly followed by commercial release of Microsoft OLAP Services 7.0 in 1998 and later by Microsoft Analysis Services.

While it was not an open standard, but rather a Microsoft-owned specification, it was adopted by the wide range of OLAP vendors. This included both vendors on the server side such as Applix, icCube, MicroStrategy, NCR, Oracle Corporation, SAS, SAP, Teradata, Symphony Teleca, and vendors on the client side such as Panorama Software, PowerOLAP, XLCubed, Proclarity, AppSource, Jaspersoft, Cognos, Business Objects, Brio Technology, Crystal Reports, Microsoft Excel, and Microsoft Reporting Services.

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.

There are several common strategies for document versioning. The strategy you select will depend on the trade-offs you want to make. Please note that MongoDB does not have any support for triggers. So a few of these methods will require that you be able to do multiple writes.

=== Strategy 1: embed history === In theory, you can embed the history of a document inside of the document itself. This can even be done atomically.

=== Strategy 2: write history to separate collection ===

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]

Healthcare Provider Directory (HPD) - supports management of healthcare provider information, both individual and organizational, in a directory structure.

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).

Selenium WebDriver is often used as a basis for testing web applications. Here is a simple example uisng Python's standard unittest library: import unittest class GoogleTestCase(unittest.TestCase): def setUp(self): self.browser = webdriver.Firefox() self.addCleanup(self.browser.quit) def testPageTitle(self): self.browser.get('http://www.google.com') self.assertIn('Google', self.browser.title) if __name__ == '__main__': unittest.main(verbosity=2)

Hyperion adds complementary products to Oracle's business intelligence offerings including a leading enterprise planning solution, world-class financial close and reporting products, and a powerful multi-source OLAP server

Microsoft Compiled HTML Help is a Microsoft proprietary online help format, consisting of a collection of HTML pages, an index and other navigation tools. The files are compressed and deployed in a binary format with the extension .CHM, for Compiled HTML. The format is often used for software documentation.

A Nose plugin for integrating JavaScript tests into a Python test suite.

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.