Big Data for Agriculture
A. What is Big Data?
Information and computer technology are divided into several major fields, such as
computer science, computer engineering, software engineering, and artificial intelligence.
Then the major fields are further divided into two sub-fields, namely databases and
computer networks. This database discusses data. Data is everything that exists and can
be recorded so that later it can be used or utilized. Data must be collected first and then
processed with certain techniques so that it can be understood by everyone. This
processed data can be used as interesting information. Data can be in the form of text,
files, video images, voice recordings, and others.
Furthermore, there is the term database (database), which is a place to store data so that
data can be more organized and neatly stored in a structured manner so that if you want to
use it in the future, the data can be retrieved or searched easily and analyzed. There are
various types of databases, namely structured, semi-structured, and not structured at all.
In addition to data and databases, there is also such a thing as big data. Big data is a term
to describe large volumes of variable data at high speed and complexity, which requires
advanced techniques and technologies to enable the retrieval, storage, distribution,
management, and analysis of information. This very large amount of data is to be
analyzed so that it becomes information so that later the information can become
knowledge. This knowledge is used for decision making or making.
In big data itself, there are three characteristics or aspects which are usually referred to as
3V. 3V itself consists of volume, velocity, and variety. Here's the explanation:
1. Volume
The name "big data" itself means data of a large size, therefore the size of the data
itself has an important role. A data set can be categorized as big data or not
depending on the volume of data.
