Rapid advances in both data storage and data capture technologies have resulted in a marked increase in the amount of data being stored in both the business and scientific sectors. Because of these advances, millions of records are being generated, each of them containing tens or hundreds of fields. Many of these data sets are expanding on a daily basis. Traditional analyses of these types of data sets, involving human experts who manually analyze the data, are clearly no longer adequate.

Ram Kumar emailed me a very simple question, "What is the difference between D2K form and OA Framework". Its a very innocent but important question for someone that desires to make transition from D2K to OA Framework. I hope you have already read and implemented OA Framework Getting Started .

To answer to Ram's question, I will re-visit my own experience of implementing HelloWorld program in "OA Framework". When I implemented HelloWorld an year ago, I had no clue as to what I was doing & why I was doing those steps. I merely copied the steps from Oracle Tutorials without understanding them. Hence in this article, I will try to explain in simple manner the meaning of OA Framework HelloWorld Program and compare the steps to D2k forms[where possible]. To keep things simple, only basics will bediscussed.

These two methods are available in the Default Controller class that gets created.

processFormRequest
This method is commonly used to react/respond to the event that has taken place, for example click of a button.
Some examples are
       if(oapagecontext.getParameter("Cancel") != null) {Do your processing for Cancellation/Rollback}
       if(oapagecontext.getParameter("Submit") != null) {Do your validations and commit here}
       if(oapagecontext.getParameter("Update") != null) {Do your validations and commit here}
In the above three examples, you could be calling oapagecontext.forwardImmediately to re-direct the page navigation to some other page if needed.

The phrase "Knowledge Discovery in Databases" or KDD has come to refer to the entire process required to extract knowledge from large-scale databases. Data mining refers to the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in data (Fayyad, et. al. 1996). Despite the fact that data mining is one step in the KDD process, the terms KDD and data mining are often used interchangeably.

Every so often a new concept sweeps the industry, promising to be a panacea for whatever ails us...think open source. More recently, Agile development has gained momentum as such a panacea. When development cycles are slow and the product misses its mark, it’s appealing to think a new methodology will be the Holy Grail for delivering products faster with more features.

But the debate over agile versus waterfall development isn’t really about the product development methodology. It’s about delivering top quality products that solve high impact problems in a reasonable time.