Role of Big Data Technologies in Android Custom ROMs




Custom ROMs seem to be the next big thing for hardcore android users. The android operating system is an open source software, and therefore it is relatively easy to customize your android  experience, with the help of several custom ROMs available for download. In fact, if you are one of those willing to get deeper into the system, you can build your own custom ROMs as well! This means that now you can personalize your android phone.

Now, the question is - what is a custom ROM? But first you need to know what a stock ROM is. A stock ROM is nothing but the original version of your smart phone's operating system available in the phone when you buy it. Thus, a custom ROM, as the name suggests, is the ROM which can be customized as per the user's requirements. So in a way, a custom ROM simply means a modified form of the stock ROM. CyanogenMod is one of the biggest Custom ROM developers.

There are several benefits of having a custom ROM. You can get rid of all the  unnecessary apps provided by the manufacturer that come bundled along with the phone when you buy it. You govern the way your phone works, that is, you can modify the phone's display features, its behaviour etc. One of the striking features of a custom ROM is that you can install a more recent version of android on your device. Custom ROMs are enriched with several useful extra features and customization options that enable the user to gain more control over his phone. 

However, judging which features are relevant to the phone, or which customizations will be most suitable for the end user, is not only a difficult task, but also an enormous one. Considerable efforts need to be put in deciding which tweaks will be most effective in terms of performance, throughput and behaviour of the phone, while keeping in mind the relevance of such changes. Under these circumstances, taking the help of Big Data technologies will prove to be an efficient and effective way to end the developer's woes.

Building a custom ROM is certainly not an easy job. It involves taking into consideration all possible features which can or need to be changed, every imaginable customization which may appeal to the end user (the main goal is to enable the end user to personalize the phone), and all sorts of tweaks which may enhance the performance of the device. If a developer aims for a broader audience, obviously he will require a careful assessment of user demands, previous or currently-in-the-market custom ROMs, and of course, the drawbacks, or rather failures, of the previous models. This is where Big Data can come as a relief. 

Big Data technologies can be used to provide meaningful and relevant insights into data that may prove useful for the developers. Developers can deploy these technologies to get all the relevant statistics for modeling an ideal custom ROM, in fact, users can also make use of these technologies to shape their ROMs (custom ones, of course), for suiting their needs. Big Data analytics may be utilized   for gathering all statistics that fulfill the purpose of providing all information which needs to be known before - hand, so that the development of a custom ROM is complete with all the necessary details, features and customizations. By carrying out relevant queries, users can use Big Data tools to build custom ROMs tailored for delivering their personal requirements, by processing and analyzing the collected data to provide important results, for instance, which features will have more impact on performance and behaviour of the phone, which apps are most frequently used and need revisions, or which ones are redundant, determining the fonts in which any text will be displayed, changing icons of available features on the phone etc.

Big Data can hence be employed for providing creative insights and relevant results as required by developers for customizing ROMs, a new trend among the tech - savvy android users.
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