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racle SQL Developer Data Modeler provides a model driven approach for database design and generation, implemented by integrated set of models – Logical, Data types, Dimensional, Relational, Data Flow diagrams and Physical models for supported Oracle Databases, Microsoft SQL Server 2000 and 2005

Cube Views metadata

Dimensional Models   Dedicated full featured Dimensional model – star and snowflake schema easily can be built and expressed on detailed and compact diagrams   Dimensions – support for merging (level can belongs to more than one dimension), shared, fact and role playing dimensions   Hierarchies – value based hierarchies (parent-child), and regular and ragged level based hierarchies   Measures – fully, semi and none additive; different aggregation functions on different dimensions ; fact dimension; calculated measures   Query wizard allows Select statements to be generated from the dimensional model   Support for Oracle OLAP. This includes specifics like cube partitioning, sparse dimensions, and compressed measures   Built-in wizards help to define all required object types and view definitions that enable SQL access to dimensional data in Oracle AW (using the OLAP_TABLE interface)   Bidirectional integration with Oracle physical model - Dimensional model can be created using SQL dimension definitions in physical model or the definitions can be created from the dimensional model

If you want to do test-driven development for databases, SQL Test is the place to start. It lets you write database unit tests in T-SQL and run them in SQL Server Management Studio.

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.

$369 per user

If you want to do test-driven development for databases, SQL Test is the place to start. It lets you write database unit tests in T-SQL and run them in SQL Server Management Studio.

Data Resource Management is the development and execution of architectures, policies, practices and procedures that properly manage the full data lifecycle needs of an enterprise

Data management is the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets.

zopyx.versioning - A MongoDB based versioning solution for Zope and Plone

The Master of Science in Data Analytics is designed to help you learn to manipulate data for insights that drive decisions. The Master of Science in Information Technology with a Database Systems Technology specialization focuses on developing the IT solutions that support an organization's data needs—big or small.

Learn online any time as you balance your job, family, and education.

Parquet is designed to bring efficient columnar storage to Hadoop. Compared to, and learning from, the initial work done toward this goal in Trevni, Parquet includes the following enhancements:

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).

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

Document a database in a couple of clicks, from within SSMS

you can add further descriptions to your database objects if necessary.

Developers creating web applications can integrate fully interactive Tableau content into their applications via the new JavaScript API. The API provides a tremendous range of interactivity in the Tableau view. For example, you can use the JavaScript API to set and create filters, select and highlight elements in the view, and process the view to retrieve updated data. This enables you to provide a high level of interactivity between a Tableau visualization and the rest of the web page.

Tableau 8 provides an application programming interface (API) to enable developers to directly create a Tableau Data Extract (TDE) file. The API works with C/C++, Java, and Python and can be used from Windows.

Js-test-driver is an open source JavaScript unit tests runner written in Java. The project was started at Google and is under active development. It is available under Apache License 2.0 license

s-test-driver is able to run from command line and reports results to the standard output. As a result, it is possible to fully automate JavaScript tests and run them on a continuous integration server.

s-test-driver is able to run from command line and reports results to the standard output. As a result, it is possible to fully automate JavaScript tests and run them on a continuous integration server.

The goal of JsTestDriver is to build a JavaScript test runner which: easily integrates with continuous builds systems and allows running tests on multiple browsers quickly to ease TDD style development.

I agree with core developers, that there is no need for that to be implemented inside JsTestDriver. Everybody has slightly different needs and this would make configuration complicated. It is easy to solve in JavaScript: * request HTML page with XMLHttpRequest * extract body * inject into the body of the document under test req = new XMLHttpRequest(); req.open('GET', url, false); /* synchronous */ req.send(null); /* body element with children */ body_content = req.responseText.match(/<body[\s\S]*<\/body>/); body = document.documentElement.getElementsByTagName('body')[0]; /* body tag itself is ignored, only its children will be inserted */ body.innerHTML = body_content; } I've documented the full solution at http://www.mobile-web-consulting.de/post/4720306582/jstestdriver-html-injection-from-separate-file