HP Ajax TruClient – Overview with Tips and Tricks

Overview

• In LoadRunner 11.5, TruClient for Internet Explorer has been introduced. It is now possible to use TruClient on IE-only web applications.

Note: This still supports only HTML + JavaScript websites. It does not support ActiveX objects or Flash or Java Applets, etc.

• TruClient IE was developed as an add-in for IE 9, so it will not work on earlier versions of IE. This version of IE was the first version to expose enough of the DOM to be usable by a TruClient-style Vusers. Note that your web application must support IE9 in “standard mode”.
• Some features have also been added to TruClient Firefox. These include:
  • The ability to specify think time
  • The ability to set HTTP headers
  • URL filters
  • Event handlers, which can automatically handle intermittent pop-up windows, etc.

• Web page breakdown graphs have been added to TruClient (visible in LoadRunner Analysis). Previously they were only available for standard web Vusers.

XML Optimization through custom Properties

1. Problem Statement:

I am creating a XML file as an output . If my source is empty, is there a way to  avoid the creation of an empty XML file?

Sample output Data with source data :

Case 1 : Empty Source – Creation of Minimal XML file

We have to set the following properties of an XML Target at session level under the Mapping tab.

Null Content Representation – “No Tag”

Empty String Content Representation – “No Tag”

Null Attribute Representation – “No Attribute”

Empty String Attribute Representation – “No attribute”

Advanced Replication Setup for High availability and Performance

In my personal opinion, Oracle leads the market in Directory Product offerings (LDAP Directories). Starting from Oracle Internet Directory (OID), to the latest Oracle Unified Directory (OUD), Oracle definitely provides variety of LDAP Directory related products for integration.

With increasing demand for mobile computing and cloud computing offering, there is a need to standardize LDAP Deployments for Identification, Authentication and (sometimes) Authorization (IAA) services. With a highly scalable, highly performing, highly available, highly stable and highly secure LDAP Directory, these IAA services will be easier to integrate with applications in the cloud or for the mobile applications.

Transitioning to a New World – An Analytical Perspective

Recently, I had the opportunity to speak at the Silicon India Business Intelligence Conference. The topic I chose for the discussion was focused on providing the BI & Analytics perspective for companies transitioning to a new world. You can view my presentation at this link –http://bit.ly/VLDDfF

The gist of my presentation is given below:

1)      First, established the fact that the world indeed is changing by showing some statistics:

• Data Deluge: Amount of digital data created in the world right now stands at 7 Zettabytes per annum (1 Zettabyte = 1 Trillion Terabytes)
• Social Media: Facebook has touched 1 Billion users which makes it the 3^rd largest country in the world
• Cloud: Tremendous amount of cloud infrastructure is being created
• Mobility: There are 4.7 billion mobile subscribers which covers 65% of world population

Collaborative Data Management – Need of the hour!

Well the topic may seem like a pretty old concept, yet a vital one in the age of Big Data, Mobile BI and the Hadoops! As per FIMA 2012 benchmark report Data Quality (DQ) still remains as the topmost priority in data management strategy:

‘What gets measured improves!’ But often Data Quality (DQ) initiative is a reactive strategy as opposed to being a pro-active one; consider the impact bad data could have in a financial reporting scenario – brand tarnish, loss of investor confidence.

But are the business users aware of DQ issue? A research report by ‘The Data Warehousing Institute’, suggested that more that 80% of the business managers surveyed believed that the business data was fine, but just half of their technical counterparts agreed on the same!!! Having recognized this disparity, it would be a good idea to match the dimensions of data and the business problem created due to lack of data quality.