What is a Big Data?
Big data is data of huge size which continuous to grow along with time. Practically a traditional system will not able to handle such huge data. Let us take the case of smartphone in usage. Huge data is maintained on it in the form of text messages, photos, videos, phone calls, music and emails. In this case, it can be termed as big data. Social media platform and stock exchange are the other examples of big data. AI and ML also play a significant role in handling big data
How is the big data stored, handled and processed? Let us get into the details.
Big data strategy:
Many of the big data handling tools are at our convenience to use. Frameworks such as Hadoop, Cassandra, HPCC, Flink and OpenRefine are some of the examples. Each has its built-in functionality to operate on Big data. Let us look into how Hadoop does it
Files storing massive data is broken down and stored on different machines. Processing simple fragments are easy compared to a wholesome amount of data. Also, to avoid losing the data, the system enables storing the file copy on different machines. The framework not just handles the data but also the tasks. Complex tasks are broken down into simple fragments and processed on different machines, separately generating a final result.
With a framework at hand, it is now time to know how the data help analyze the functionality of a system. For example: Consider a user using an app. It has the steps to go through to attain a specific result. While going through different users have different ways of handling it. Some may feel difficulty operating at a certain level, while the other person might face difficulty at another level. Various combinations of operating the app, the pause time, success rate, failure rate are all considered to enhance the app’s features.
Advantages of Big Data :
- Handles customer grievances
- Used to test Computer-aided designs to gain perfection in product processing
- Helps during disaster management.
- Safe and secure data maintenance
- Helps in predicting replacement of the old goods with a new one
- Used in the Medicinal sector for ontime treatment
- Hiring suitable candidates for employment
- Helps evaluate the business revenue
- Saves time by enabling quick decision making
- Helps detect fraudsters and know the current market
By being able to generate so many advantages, Big data controls online reputation.
How Big data controls online reputation
Big data enables us to know where we stand in the current market. By which we can change our strategies accordingly. Huge number of people visit the web to gain information on a specific topic. They tend to read the content on the web, which suits their requirement and interests. So promoting good content which gains audience attention is suggested.
Estimates can go right with the availability of more data. Big data plays its role to know what the majority of the people are expecting from the business. Quality holds the top position when it comes to building an online reputation. Gaining the competitor’s data is more likely to build healthy competition in the market.
Finally, it is not the data that matters, but the quality content that makes its mark to gain online reputation.
Social media, stock market and smart phones would not run smoothly if the data is not appropriately handled. Now that we have understood the role of Big data in building online reputations, how is it that practically the businesses find help to gain the advantage of it? Onpassive ‘s product O-post helps businesses gain huge customers, which indirectly creates big data paving the way to predict the current market and plan the strategy accordingly
We at Onpassive Digital are work towards making Data Analytics and Big Data available to all the businesses and help them in achieving their maximum reach and realizing goals.