Semi-structured data is a subclass of structured data which does not follow the common structure of data. Semi-structured data are associated with relational databases or other types of data tables. Semi-structured data contains different tags and other markers that separate semantic elements and fields within the data.
Semi-structured data are sometimes referred to as an as self-describing structure. In semi-structured data belongs to the same class which differ by their attributes even after being grouped together.
Semi-structured data are continuously increasing since full-text documents and databases are not enough to cover the whole data. Semi-structured data helps programmers persisting objects from their applications to a database.
It supports nested data which further simplifies data models representing complex relationships between entities. It also provides support for the lists of objects simplifies data models by avoiding long and complicated transaction list into a relational data.
To talk about semi structured data, we first need to explain what data modeling is. Data modeling defines the logical structure of the database. Data modeling determines how data is stored, organized, and then manipulated in a database. Understanding the different types of data your business stores is essential to developing an effective data management … Read more
Semi-structure data in big data Data is not only becoming easily accessible but also easily understandable to the systems. Most of the big data embedded in data is unpredictable. They usually contains unruly stuffs such as videos, words, images from web and those streamed down from sensor data. But the computer tools are adding knowledge … Read more