New Cloud Computing Technology and Cloud Computing Information

Jun 25, 2017

Big Data Servers and their Applications

What are big data servers and what are their applications for government and private business?"

Big Data Servers
Big Data Servers

What are big data servers and what are their applications for government and private business? This is a question that still lingers in the mind of many. Big data is used in reference to initiatives and technologies involving very diverse, massive or fast changing data which cannot be efficiently addressed by conventional infrastructure, skills and technologies. In layman language, this is technology involving data of too large velocity, volumes and/or variety. This data is normally too large and very complex and it would be impractical to manage it using traditional tools.

How then can you reap benefit from Big Data? With the new technologies today, benefiting from Big Data has been made possible. For instance, it is easy for a retailer in a private business to track clicks by users of their website thus identifying any trends that would help improve stockage, campaign and pricing. Utilities, on the other hand, can identify levels of energy usage in a household to predict the possibility of an outage and use this as a warning to start consuming energy more efficiently.

Big Data is especially of great benefit for the government. Through it, the government can be able to detect and even track possible emergence of a disease outbreak. This is done through tracing signals from the social media. Further, oil companies can use the output of the sensors found in their drilling machines to help make safer and more efficient decisions as far as drilling is concerned.

To be specific, Big Data involves creation, retrieval and storage of data that is of remarkable variety, volume and velocity. These are the three terms that define Big Data Servers. What do they really mean?

Volume of Big Data Servers

In 2000, a typical PC had a storage space of about 10 gigabytes. With the development of technology, today Facebook can take in up to 500 terabytes new data per day. A Boeing 737 can also generate up to 240 terabytes flight data per flight. Consider the amount of data created and consumed by smartphones. The many sensors that have been embedded in objects we use daily result in billions terabytes of new data constantly being produced. The volume of data is increasingly becoming larger and larger.

Velocity of Big Data Servers

Ad impressions and clickstreams capture the behavior of users at a billion events in seconds. In every microsecond, there are changes in the market which are reflected by high frequency stock trading algorithms. Lots of data exchanges occur within millions of devices thanks to machine to machine processes. Sensors and infrastructure also generate huge data quantities in real-time. In addition, online gaming computer systems support continuous streams of users whereby each second each user produces multiple inputs.

Variety of Big Data Servers

By now we know that Big Data is not all about dates, strings and numbers. It also is 3D data, geospatial data, unstructured data (social media and log files), audio and video. The database systems used traditionally had a design that only allowed them to address lesser updates, structured data in smaller volumes and a data structure that is consistent and predictable. These systems have also been designed in such a way as to on just one server. This makes increased capacity finite and expensive. Today, applications are evolving to be able to serve a larger user volume. This is increasingly making the traditionally used database systems more of a liability than an advantage in any organization. Big data databases for example MongoDB, have been developed to provide solutions to these problems. These also provide means to companies to increase the business value.

Big data servers and databases help private businesses and enterprises to grow revenue, save on money and achieve many of their business objectives. Below is a look of how Big Data can be applied in any private business so as to reap benefits from it:
With Big Data, a company can collect real-time data on its resources, customers or products. Repackaging this data helps optimize resource utilization and customer experience.

By replacing the very expensive customized legacy systems with standard solutions, Big Data technologies helps lower costs of applications and also improve their effectiveness. This is because most of the big data technologies are usually open source and their implementation is cheaper than other proprietary technologies.

Big Data technologies also enable businesses to have a faster adaptation to changes compared to their competitors. This is a gives them a great competitive advantage.

There is an increased amount of the data shared in an organization which allows them to respond faster and more accurately to the needs of the customer. What better way to increase the customer loyalty?

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