From a time when we used to get information by processing data, we have reached a stage where the output is still information that is desired by the user but the input has grown very large in scale – from data to BIG DATA. Data is now fast becoming another sort of raw materials be it any kind of industry, mobile application development being no exception to this point. For example, mobile application development companies in Singapore analyze various patterns of massive size that are provided by the users of their mobile apps. Big data helps in the development of secure mobile application development also.
In another 2 to 3 years, we can expect that the number of mobile apps being downloaded to grow to 258 billion. It is quite an amazing and astonishing figure. With the kind of user base (that grows every moment) the data that these apps, be they Android-based or targeted towards iPhone, will be producing is bound to be enormous. In the future, the word Gigabyte might fade into history like Kilobytes of yesteryears. We shall be dealing with yottabytes (280 bytes) of data. Though we might be staring into a bright future, yet there is a problem that is visibly clear – this raw BIG DATA is in an unstructured form. This data can contain audio-video samples, chat, or semi-structured data such as JSON or XML files. To analyze and develop this unstructured or semi-structured data is the need of the hour.
In the data-driven corporate world, finding valuable insights from a data lake can be crucial for ensuring the growth and success of modern enterprises.
As various industry sectors generate a plethora of data every day, we can certainly expect that soon the corporate data will cross the zettabyte level.
Enterprises bank on connected devices to bring automation in the process and simplify the complex operations.
Such devices collect and store zillions of data daily, and big data analytics can provide actionable insights after analyzing the data.
When you hire mobile app developers, they can go through this report and make a roadmap to develop a user-oriented app with excellent user experience.
Also, big data assists companies to improve the existing applications to retain the existing customers and attract more people toward their business.
The data that is kept and stored at a global level keeps on growing so this big data has a big potential.
You can take your data from any sources and can do analyse to find out cost reductions, time reductions, optimized offering and also smart decision making.
Banking: Banks are finding one or the other way to find the new and innovative ways in managing the big data.
It satisfies the industry regulations as health care needs to be done accurately.
Simply you need to identify the data set and preserve them in the small subset format.
Managing your effective big data will helps in combining the valuable information in large sets with an unstructured data.
Original published at All you need to know about Big Data
Mobile app development is entering an exciting phase in its journey as technologies like Blockchain, AI, Machine learning, Beacon, AR & VR, IoT, and Cloud Computing are intersecting with each other and are opening up new horizons for Mobile app development companies.
It is expected that these technologies will enable mobile app developers to create solutions that were previously thought impossible to develop.
Let us dive deep into the world of exciting possibilities.
Top Mobile App Development Trends to follow in 2020
1 – The Future is Instant
We all face a similar problem; there are a lot of apps installed on our smartphone, which we use rarely.
The idea of Instant Apps was pioneered by Google, which launched Android Instant Apps in 2016.
Instant Apps basically let the users test an app before installing it on their device.
So, if you like the app and some of the features provided, you can go ahead and install the app or else forget about the app and move ahead...
Uncovering hidden pattern and business insights have become crucial for making proper decisions.
Do Big Data And Business Intelligence Go Hand In Hand?
Recent trends have already proved that companies that focus on BD and BI can run better, remain more profitable than those whose decision makers work on “what feels right” basis.
Big Data application development adds more value to the existing BI tools and enhances them further.
Here’re four examples that show how brands are benefiting from BD analytics.
As one of CNN’s reports pointed out, it manages to thrive even in the Amazon era.
