Over the past few years , big data application demands are continuously gaining huge popularity as it allows businessmen across all industries to perform any of the prescribed task with greater efficiency.
Big data application are those application which allows user to reliably store data , access it and manipulate large data sets . It is more often seen that healthcare industry can diagnose the patient condition more accurately using big data technology . Marketers and retailer can use big data for doing market analysis and obtaining effective advertising campaigns .
Big data application development is often complicated , but it always stand for the benefit of emerging market condition .
In order to create a effectively working product , big data developers should keep the following points in minds :
Clear Vision Of Goal Of Developing Big Data Mobile App
Developer should have a clear vision in mind about the ultimate goal of the application they are developing , in such a way that they know exactly that what the finished product are going to serve and in which industry .
Client may have in their mind the type of database they will be requiring for big data app development , but they might not have a clear vision regarding the same . Clients always know what they want as their end product , but they might not be technical about choosing the database .
While designing big data app architecture it is really important to have a clear vision in mind about the goals of the app together with new innovative idea to guide project in new directions .
Focusing On Interface Still Important While Building App On Big Data
It’s easy to focus on choosing strong framework during big data app development , as ultimate aim of this type of application is to store large sets of data ,
However it is also important to use the customer centric approach in these type of application as customer will be the ultimate user of the app and hence creating an intuitive interface is necessary .
Big Data Developer Should Focus On Long Term ROI
Big data apps are often expensive solution , but developers should influence clients that it is beneficial for long term return on investment .
Although big data apps could be expensive at first , but it has lots of benefits . It is always preferable to refer clients about big data application examples during early stage of development so that they can eventually calculate the return on investment . Doing so will help understand clients about the advantage of it .
So by keeping in mind the above points , big data app developers are more likely to do successful development .