Restricted access
 
 

September 30, 2010

Choosing the Right Tool for Custom Data Integration Software

Apatar can be used as data integration software of choice for a variety of implementation options. However, sometimes our development team faces challenges of developing custom data integration applications that would fit specific needs of the customer. In my previous post, I told you about the integration with MS Dynamics CRM. Today, I will tell you why the team voted for a custom data integration application to be developed in PHP.

First, the team considered Apatar to be implemented for data integration. To success fully apply this solution, a GUI Server had to be installed and configured first. The customer didn’t have a GUI Server and did not intend to deploy one. Besides, it was challenging to support customer’s database triggers with Apatar.

The team decided to build a custom data integration solution. They had to figure out what would be the best tool for this application, considering three major languages: Java, Delphi, and PHP.

To run the application on Java, the team would have had to build a custom server, and implement an .http or a custom protocol. In case they would have implemented a custom protocol, some additional application features had to be developed as well. It appeared to be a complex and time-consuming task. Delphi had the same limitations as Java; what’s more, it is not a cross-platform tool and works with Windows environment only.

Finally, the team voted for PHP, as it appeared to be the right tool to suit customer’s requirements. PHP can be deployed on most Web servers, many operating systems and platforms, and can be used with many relational database management systems. It does not have the limitations of the above-mentioned tools. Moreover, customer’s hosting server had a configured PHP environment, so it did not require any additional settings.

As a result, PHP was the right solution for building a custom data integration solution in a short period of time. The deployment of the solution has not required additional costs and efforts on implementing new features and technologies.

September 29, 2010

Data Integration Application for Microsoft Dynamics CRM

September 28, 2010

What Is The Difference Between ETL and EAI?

Filed under: EAI, ETL — Katherine Vasilega @ 3:48 pm

September 24, 2010

Customer Data Integration Using RSS Feeds

Filed under: Data Integration, Database Integration — Tags: , , — Katherine Vasilega @ 7:45 am

September 23, 2010

Data Integration to Achieve Data Quality

September 21, 2010

Tips for Salesforce and QuickBooks Integration

Filed under: Data Integration, Data Synchronization — Katherine Vasilega @ 6:30 pm

September 20, 2010

Simple Rules of Successful Data Integration Strategy

Filed under: Data Integration — Katherine Vasilega @ 4:13 am

September 17, 2010

Data Mapping for Data Integration

Filed under: Data Integration, Data Migration, Data Synchronization, Database Integration, ETL — Katherine Vasilega @ 6:43 am

September 16, 2010

How to Overcome System Limitations during Salesforce Integration?

Filed under: Data Integration — Katherine Vasilega @ 12:04 am

September 14, 2010

Data Structure Mismatch during Data Migration Process

Filed under: Data Integration, Data Migration — Katherine Vasilega @ 4:11 am
« Older Posts