Data Types in Microsoft® Dynamics™ NAV

The secret of getting ahead is getting started. The secret of getting started is breaking your complex overwhelming tasks into small manageable tasks, and then starting on the first one—Mark Twain

In this article, we will cover the data types that you are most likely to use. We will also take an overview of the others. In addition, we will also cover field classes, which are where the special features are enabled.

Data Profiling with IBM Information Analyzer

Data profiling is essentially data mining, but for a different purpose. You mine data to understand, to gain better knowledge about the data. While the more common use of data mining is for gaining the data insights for business purpose (e.g. customer buying characteristics), data profiling is for technical purpose. To be more precise, you do data profiling to gather and analyze the technical metadata characteristics of the data. Information Analyzer, data profiling software from IBM, helps you gain insight into such technical metadata characteristics as, for example, column data type and size (length).

This article is based on a case where a database table grew its size unexpectedly and its initial disk space allocation got strained. Looking at the growth pattern of the table, such as the number of new records (which was not that huge), didn’t give us any clue about the cause of the problem. In this article, Djoni Darmawikarta will step through the Information Analyzer process, run one of its functions called Column Analysis on a simple table (a scaled-down version of the real table), and show how the profiling output help solve the problem.

Data Modeling with ERWin

"ERWin from Computer Associates (CA) is one of the most popular data modeling software in the market. I’ve been using this data modeling tool since its release 3; it’s now at release 7. In this article I’ll show how to create a data model from scratch, starting with logical and physical models, and then forward engineer the physical model to Oracle database". In this article by Djoni Darmawikarta we’ll create a data model for Sales Order, with customer and product data.

Data Modeling and Scalability in Google App

Google App Engine (GAE) is a platform and SDK for developing and hosting web applications, using Google's servers and infrastructure. Google Web Toolkit (GWT) is a development toolkit for building complex AJAX-based web applications using Java, which is then compiled to optimized JavaScript. Used together, GAE/Java and GWT provide an end-to-end Java solution for AJAX web applications, which can solve many of the problems that arise in developing, maintaining, and scaling web applications.

In this article by Amy Unruh, co-author of the book Google App Engine Java and GWT Application Development, we look at ways to structure and access your data objects to make your application faster and more scalable.

Data Migration Scenarios in SAP Business ONE Application- part 1

In this two-part article series by Wolfgang Niefert, you will be introduced to the tools and methods which will help you to migrate data from different sources into the SAP Business ONE application.

Data binding from Expression Blend 4 in Silverlight 4

In this article series by Gill Cleeren and Kevin Dockx, authors of Microsoft Silverlight 4 Data and Services Cookbook, we will cover the following recipes:

• Using the different modes of data binding to allow persisting data
• Data binding from Expression Blend 4
• Using Expression Blend 4 for sample data generation

Data Access Using Spring Framework: HibernateTemplate

Retrieving data from heterogeneous database servers at Data Access Layer (DAL) has become common while developing enterprise level applications. This, in turn, leads to writing server specific code at DAL level and plugging in a configuration logic that determines which server is to be used at run-time. For an application of medium sized complexity this is well and good. However, as the complexity increases, the server specific code and the configuration logic tend to become part of the infrastructure that runs the application, which in turn adds to the over-all complexity of the application. It is in such scenario that Object Relational Mapping (ORM) frameworks come into picture. These frameworks dynamically generate the required SQL for the targeted database system. Using ORM frameworks the target database system can be changed via configuration file entries. Thus, they take care of configuration logic as well. In this article by A. P. Rajshekhar, we will work with Hibernate, one of the commonly used ORM frameworks.

CXF architecture

In this article by Naveen Balani, we will have a look at the CXF architecture in detail.

The architecture of CXF is built upon the following components:

• Bus
• Frontend
• Messaging and Interceptors
• Service Model
• Data bindings
• Protocol bindings
• Transport

Customizing your Template Using Joomla!1.5

With the widespread empowering of website owners being able to manage their own website's content, there are a huge number of content management systems available. Joomla! is one of the most popular of these content management systems with a large user base and active community who are constantly working to improve Joomla! for new and future users.

In the first article we have learned How to Style the search Module and Search Component

In the Second article of this article series by Richard Carter, author of Joomla! 1.5 Templates Cookbook we will learn:

• Customizing the breadcrumb
• Styling pagination
• Linking back to the top of your page