Big Data Classification Technology - From the name, we already know that Big Data is a large volume of data. So far there is no definition as well as the meaning of Big Data, but experts are trying to provide a definition for Big Data so that it is understood by the wider community, especially business people.
Big Data is data with a large volume so that it cannot be processed using ordinary traditional tools and must be processed with new tools or technology to be able to get value and information from this data. Without realizing it, every day humans produce a lot of data and it can come from anywhere such as social media posts, digital images, videos, and so on. This data is then called Big Data.
When asked about the classification of Big Data, there are two answers, namely Big Data Operational and Big Data Analytic. It is these different operational as well as analytical workloads that cause system requirements to conflict with one another. The Big Data System has evolved to handle the two types of Big Data specifically, separately, in different ways. To understand the classification of Big Data technology further, you can listen to the explanation below:
The first classification of Big Data technology is operational. To handle jobs related to operational Big Data, a system has been built with NoSQL databases such as document-based databases which can be shown with several types of applications, database key-value stores, column family stores, and also graph databases which can be optimized to become more specific.
NoSQL itself was developed due to a lack of relational databases in a more modern computing environment. NoSQL technology is known to be faster, easier and cheaper. The result is that NoSQL is designed in such a way as to take advantage of the advantages of cloud-based architectures that have emerged in the past two decades. This enables large-scale computing to run efficiently at a relatively low cost. The result is NoSQL with cloud computing to become a Big Data operational workstation that is easy to manage and can be implemented faster.
The next classification of Big Data Technology is the type of analytic where the work related to Big Data is precisely the process of implementing the MPP database system and also MapReduce. The emergence of this technology has also been a reaction to the limitations and limitations of traditional relational databases that scale more than one server. In addition, MapReduce also offers a new method that is able to analyze data which functions as a complement to this SQL capability.
The popularity of the use of various types of applications from these users continues to produce data from the use of these applications and a number of analytical efforts are made which really provide significant value to the progress of businesses implementing the Big Data technology. The NoSQL system is also capable of providing several built-in MapReduce functions which allow analysis of operational data.
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