Data is one of the most important aspects of a business that comes in a variety of formats. Data can be easily sorted into two different categories: Structured and Unstructured data.
Every businessman or entrepreneur must know the types of data structured in two different types. Here, we will provide enough information on the topic of structured and unstructured data. After reading this blog, you will get to know the primary differences between these two types of data forms.
Structured data is the type of data that has been formatted and is predefined to a specific structure before being utilized in the data storage, which is sometimes referred to as schema–on–write. One of the best examples of structured data is the relational form of a database. The data has been formatted into precisely defined fields just like credit card numbers or your addresses of a specific place for linking with SQL.
There are many benefits of structured data. Some of them are:
⦿ It can be conveniently used by businessmen and entrepreneurs
⦿ Can be used in machine learning algorithms
⦿ Access to more tools
Examples of Structured Data
Structured data are used in inventory control systems and ATMs. However, these structured data may be either man-made or machine-generated.
One of the common examples of a machine-generated structured form of data is the form of weblog statistics and PSD (point of sale data) that are used in barcodes, QR codes, etc. If we talk about man-made structured data, then knowledge of spreadsheets is one of the best examples available.
Unstructured data is a type of data that is available in its natural or native form until it is processed for any task. It is sometimes referred to as scheme-on-read. It comes in a series of file format that consists of various things like email, social media posts, chats, presentations, IoT sensor data, and satellite gallery.
Under the benefits of unstructured data, we find various things like:
⦿ Freedom of the native format
⦿ Data storage
⦿ Quicker accumulation rates
Examples of Unstructured data
In this form of data, we get qualitative, not quantitative that is very categorical and characteristic in nature. Unstructured data may be very beneficial for the enterprise by assisting for particular policy compliance because it can be easily used to analyze various types of patterns in suspicious email trends and chats.