All posts by Andrew Palczewski

The Grass Is Always Greener On the Next Framework

May 17, 2014 Andrew Palczewski Leave a comment

Over the past 20 years, Microsoft has been releasing a multitude of frameworks and application development platforms. Each framework has a unique set of constructs, and often requires developers to learn a new language in order to take advantage of its benefits. Unfortunately, due to the major structural differences between the languages, most old applications need to be completely rewritten to gain access to the new features. This leaves many to wonder – is it worth the effort?
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Bad Code Good Code

May 15, 2014 Andrew Palczewski 2 Comments

In the previous series on database design principles, we discussed potential pitfalls in software development and ways to solve common database design mistakes. In the past week, while revamping an ASP.NET software application developed by another company, I have had the opportunity to see many of these rules come to life, and see their malpractice wreak havoc on the enhancements.
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When Optimization Breaks Software

May 14, 2014 Andrew Palczewski 1 Comment

It’s well known that most of the code we write is not what the computer actually runs. When writing a program, the compiler or runtime will take the code and perform a process called “optimization,” where various methods are applied to make the code more efficient so that it will execute faster.
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ASP.NET – Custom Query Interfaces

May 13, 2014 Andrew Palczewski Leave a comment

When developing web-based forms using the ASP.NET platform, one of the basic tools that is lacking from the framework is an effective search mechanism. Custom queries seem to have been neglected due to their apparent complexity, and their non-geometric fit into the ideology of most frameworks. Still, a good search tool is very useful to users for finding relevant data in a large database. As such, we have developed a few tools and methodologies to make search implementation easier in web applications.
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Database Design Principles – Part 5: Isolate Semantically Related Multiple Relationships

May 12, 2014 Andrew Palczewski 1 Comment

In the previous database design post, we discussed isolating independent multiple relationships. The goal was to find relationships in the database that were independent, yet incorrectly bound to the same row. This last and final database design principle helps us find data that is too flexible, and can instead be combined to help reduce database size and optimize speed.
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Database Design Principles – Part 4: Isolate Independent Multiple Relationships

May 9, 2014 Andrew Palczewski Leave a comment

In part 4 of this 5-part series on database design principles, we review Independent Multiple Relationships. By isolating relationships so that the database structure is fully hierarchical, the software will be more adaptable to future user needs, and require less reprogramming when the requirements will inevitably change in the future.
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Database Design Principles – Part 3: Eliminate Columns Not Dependent on Key

May 8, 2014 Andrew Palczewski Leave a comment

In the third of this five part database design series, we review the database design rule of removing columns not dependent on the key. Similar to removing redundant data, this rule will make the database more flexible and maintainable throughout the lifecycle of the system.
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Database Design Principles – Part 2: Eliminate Redundant Data

May 7, 2014 Andrew Palczewski 1 Comment

In the second of this five part database design series, we continue to explore improvements to the database schema. These improvements will help create more flexible software, reduce maintenance and support costs, and improve scalability. The second principle of database design is to eliminate redundant data.
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Database Design Principles – Part 1 of 5: Eliminate Repeating Groups

May 6, 2014 Andrew Palczewski 1 Comment

With the large number of software applications in the wild, from desktop, to web, to mobile, the vast majority employ some form of database. As development teams get smaller and consist of fewer seasoned professionals, the databases that run these applications are often poorly designed, inflexible, and difficult to scale. By following a few core principles of database design, however, many of these databases could be substantially improved. The first and foremost rule of good database design: eliminate repeating groups.
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