Your ability to adapt is perhaps one of the most significant skills you can cultivate in yourself as a web developer. The rapid pace of technological advancement means that new technologies and methodologies are always coming up for use. Each advancement comes with a learning curve that you have to overcome, and overcoming it most effectively can determine your success within the web development industry.
While you should always look for tools and tricks that help you improve as a developer, you also shouldn’t be afraid of failures. The mistakes you make can be precious learning opportunities. However, you should ensure that you make significant mistakes at an earlier stage of development since they could cause major loss if done later.
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Why Do Developers Use Grid Libraries In The First Place?
Modern web applications are becoming increasingly data-intensive. Most of them involve working with data in one way or the other. It is majorly back-end processing for some with not much to show on the front-end. However, some intend to work with the data and allow for a satisfactory user experience that involves interacting with the data. Such web applications need tools for such requirements, and it is preferred that a single technology can manage both.
Using a grid library for your data-intensive web applications has several advantages over other options. Some of them are briefly described below:
- Better Modularity: By separating your front-end and back-end technologies from the data handling, you give your application a more modular nature. It comes in handy when scaling and maintaining the application and ensures more minor performance sacrifices.
- Better Performance: Since the grid libraries focus on only data, they offer much better performance when working with it. Incorporating such a library ensures your overall application performance and your data grid responsiveness are optimal.
What Are Some Common Grid Library Mistakes Developers Make?
Why Should You Avoid Choosing Libraries That Lack Big Data Capabilities?
Thankfully, Sencha ExtJS understands the growing need for robust grid libraries with big data capabilities. It is packed with features that work as smoothly for millions of records as it does for smaller datasets. Additionally, the user experience doesn’t suffer when working with huge data groups, as the UI allows you to explore the data grid in whatever capacity you require.
How Does a Library With Fixed Details Hinder Scalability?
Sencha ExtJS understands this need for customization and gives you the ability to add or remove details as you require. You can bring in widgets to help with adding functionalities. You can also personalize the user experience by modifying the UI to fit with your project’s overall front-end. Such details make ExtJS popular among the developer community and a preferred choice for data grids.
Why Should You Avoid Selecting Libraries With Low External Support?
Sencha ExtJS aims to build your confidence when you select it to build robust data grids that handle your data. It offers extensive documentation that thoroughly explains its functionalities and even provides workable demos. Additionally, you can utilize the active user community Sencha ExtJS enjoys and seek specific help whenever you need it. With such support and learning resources at your disposal, you can confidently develop the best data grids.
How Does Bad Display Enable Poor User Experience?
With Sencha ExtJS, you get to witness a premium user experience in all aspects. The data grids you will build will offer features like filtering, pivoting, and extensive row operations. Additionally, you can customize the user experience to satisfy your criteria and become best suited for your application’s needs. The visual elements of Sencha ExtJS’s UI make it a solid option for developers who want to build appealing data grids.