Yunani De Deus

Yunani De Deus, Nadia Maria D

Big Data is used as a technology that will become a future trend. Actually what is Big Data? What benefits does Big Data give to businesses? Is big data important? Here’s a little review about Big Data.
Big Data is a new technology in the world of information technology which allows processing, storing and analyzing data in various forms / formats, large amounts and very fast data growth. Processing and analyzing large amounts of data requires relatively much shorter time using Big Data than previous data technology.
Today is the big data era. This is echoed everywhere. Automation of all aspects ranging from personal banking problems, transportation reservations are made online. Passing online and all this automation, will certainly produce data. The following illustration will explain how actually we ourselves have contributed to the big data era.
Illustration of Big Data
Monday morning, Nadia was late waking up. Before departing, she first checked the GPS to see if the route of traffic was jammed or not if she go by the car from her home to the campus. After she saw, the road she took was quite dense. Then she decided to go by motorcycle taxi to save time, she ordered the motorcycle taxi through an online application. Because it arrived 30 minutes before class hours began, Nadia checked her personal email that she had not had time to read over the weekend. The entry message also contains unpaid bills. Not wanting to be late, Nadia immediately paid it through the available online platform. Impulsive, one of the incoming messages is a happy hour breakfast promotion for a restaurant. Seeing the clock turned out, there were still hours of promotion. Then she ordered one of the breakfast menu.
The illustration above is only a fragment of our daily life. Now everything is automatic, and also every transaction that we do will be collected into a data that we now call big data. Now, big data is an important element for making decisions that are right on target. Even now, data is a pricey commodity. But actually, is that big data scientifically?
Big Data Technically
Technically, big data consists of four dimensions, namely Volume, Variety, Velocity, Veracity and Value. What do the five points mean? Let’s discuss them one by one.
• Volume
Literally, the volume means size. At present, data continues to grow. Simply started from us everyday. if in the past, we only use diskettes to store data. Now, it takes a hard drive to store our data. Likewise with a mobile phone, if the memory cellphone was not up to 1GB, nowadays smart phones have even reached hundreds of gigabytes. This is because PCs and cellphones are increasingly sophisticated, due to the addition of sensors that are included in the daily device, this causes the flow of millions of new data, which are constantly updated, which includes data related to the environment, location, weather, videos and even data about the user’s mood. That’s just our personal data. What about the company, of course more.
• Variety
Variety talked about variety. Big Data does not store data in the form of numbers, date data, and text sequences. Big Data also includes space / geospatial data, 3D data, audio and video, and unstructured text data including log files and social media. Traditional database systems are designed to handle structured data, which doesn’t undergo frequent updates or predictable updates, and has a consistent data structure whose volume is never as big as Big Data.
• Velocity
Both clickstreams and ad impressions record the behavior of Internet users in millions of events per second; stock trading algorithms in high frequency can reflect market changes in the count of microseconds; processes that involve the relationship between a machine and other machines have involved the exchange of data between millions of devices; sensor equipment and devices on the infrastructure generate log data in real time; Online gaming systems can serve millions of users simultaneously, each of which provides a number of inputs per second.
• Veracity
Veracity itself refers to clutter or trust in data. This is related to various forms of large data, uncontrolled quality and accuracy, to post Twitter examples with hashtags, abbreviations, typos and everyday speeches. Big Data and analysis technology now allows us to work with this type of data. Volume often makes up for lack of quality or accuracy.
Big Data in everyday life, we often find applications from big data, such as top up credit via online load stations, track traffic, online transactions, etc.
Overall, Big Data is an advantage for us, because these data that we were analyzed are insight, strategies toward competitors, free from human error, unless used improperly. Real-time big data analytics can be very important for businesses, but businesses must first determine whether the pros are bigger than the cons in their particular situation, and if so, how those losses will be overcome.

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