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Big Data Analytics
Understanding the Basics of Big Data Analytics

The "Big Data" is often used by enterprises, organizations, and people alike in the current digital era. The most important thing to understand is that Big Data is not a solution.

In this article, we will discuss what Big Data is and its characteristics. Big data refers to large and complex datasets that are difficult to process and analyze using traditional data processing methods. It is a broad term that encompasses many different types of data, including structured, semi-structured, and unstructured data.


The "big data" refers to enormous datasets that are challenging to process using typical data processing methods. It is distinguished by its volume, velocity, and variety, which are referred to collectively as the 3Vs of big data or the Characteristics of Big Data.


Big data is defined by the sheer amount of data that is generated and collected every day. This data can come from a variety of sources. It commonly happens when the growth of data is faster than infrastructure expansion and the volume of data becomes crucial.


Velocity refers to the speed at which data is generated and processed. With the increasing volume of data, the speed at which it is generated and processed is also increasing. This requires new and more efficient methods of capturing data, processing and analyzing data, for a nowadays demand such as; real-time processing and predictive analytics.


Big data is made up of many different types of data, not only text based but also including photos, and videos. The variable of the data can be Structured, Semi-Structured and Unstructured data.

Structured data is data that is organized into a specific format, such as a database. Semi-structured data is data that is partially organized but does not have a specific format. Unstructured data is data that is not organized in any particular way,

Big data is a term used to describe large and complex datasets that are difficult to process and analyze using traditional data processing methods. The 3Vs of big data - volume, velocity, and variety - make it a unique and challenging type of data. Despite these challenges, big data has many practical applications in a variety of industries and is expected to play a significant role in shaping the future of technology and business. Duta Sarana Inovasi provides IT solutions which include a data analytics platform with business intelligence that can support your organizations in gaining insights in order to make better decisions. Contact us now to get more information about how we can help to streamline your IT processes with our expert solutions!


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