Unstructured data refers to information that does not conform to a specific data model or format, making it more challenging to analyze and interpret compared to structured data. Examples include text documents, emails, videos, images, social media posts, and audio files. Unstructured data often requires specialized tools and techniques, such as natural language processing and machine learning, to extract valuable insights.
Structured data is organized and has a defined format, making it easy to store and retrieve. Unstructured data, on the other hand, lacks a predefined structure and may come in various formats like text, images, or videos. Structured data is often stored in databases and can be easily analyzed using traditional methods, while unstructured data requires special techniques like natural language processing to extract meaningful insights.
A structured questionnaire has pre-set questions with fixed response options, while an unstructured questionnaire allows for open-ended responses. Structured questionnaires are ideal for quantitative research to collect standardized data, while unstructured questionnaires are more commonly used in qualitative research to gather in-depth insights. Structured questionnaires are easier to analyze and compare, while unstructured questionnaires offer more flexibility and depth in responses.
Relational databases: Organize data into tables with rows and columns. NoSQL databases: Designed for large volumes of unstructured or semi-structured data. Object-oriented databases: Store data as objects. Graph databases: Optimal for data with complex relationships. In-memory databases: Data stored in RAM for faster access.
An informal research method is a flexible and unstructured approach to gathering information and data. It typically involves methods like observations, interviews, surveys, or informal conversations. This approach allows for more creativity and adaptability in data collection compared to formal research methods.
Aggregate Data - it comes from multiple patients and are grouped together without the ability to identify the particular patient and is used for research, quality improvement activities and other statistical analyses.
discuss the difference between structured and unstructured problems.
Unstructured data
Its Unstructured Supplementary Service Data
Structured data is organized data that is contained within a data model. Unstructured data, on the other hand, lacks a predefined data model or structure and includes data like text, images, and videos. Structured data is easier to analyze and manipulate, while unstructured data requires more advanced techniques for interpretation and processing.
Data can be classified into various forms such as structured data (organized into rows and columns), unstructured data (text, images, videos), semi-structured data (mix of structured and unstructured data), quantitative data (numerical), qualitative data (descriptive), primary data (first-hand) and secondary data (collected by others).
The process of extracting high-quality data from unstructured text is known as text mining. Text mining, in its most basic form, seeks out facts, relationships, and affirmation from large amounts of unstructured textual data.
Structured data is organized and has a defined format, making it easy to store and retrieve. Unstructured data, on the other hand, lacks a predefined structure and may come in various formats like text, images, or videos. Structured data is often stored in databases and can be easily analyzed using traditional methods, while unstructured data requires special techniques like natural language processing to extract meaningful insights.
AWS S3 is a key-value store, one of the major categories of NoSQL databases used for accumulating voluminous, mutating, unstructured, or semistructured data. ... S3 is capable of storing diverse and generally unstructured data, but it's also suited for hierarchical data and all kinds of structured information.
data can be define as stored representation,s of objects and events that have meaning and in important in the user,s environment. This definition include structured and unstructured datatype. Today structured and unstructured data are often combine in same database to created a true multimedia environment .
AWS S3 is a key-value store, one of the major categories of NoSQL databases used for accumulating voluminous, mutating, unstructured, or semistructured data. ... S3 is capable of storing diverse and generally unstructured data, but it's also suited for hierarchical data and all kinds of structured information.
A program in unstructured language consists of sequence of commands, or statements, usually one in each line. these lines may have labels. labels helps to jump any line in the program. unstructured programming introduces basic control flow concepts such as loops, branches and jumps. they don't use concept of procedure,function . In contrast structured programs uses procedures,subroutines and local and global variables. Yes an unstructured language uses labels and jumping statements example of unstructured are earlier language like assembly language. structured language are well equipped with control statements, procedures,functions etc. example of structured language are high level language like c,c++.
A structured questionnaire has pre-set questions with fixed response options, while an unstructured questionnaire allows for open-ended responses. Structured questionnaires are ideal for quantitative research to collect standardized data, while unstructured questionnaires are more commonly used in qualitative research to gather in-depth insights. Structured questionnaires are easier to analyze and compare, while unstructured questionnaires offer more flexibility and depth in responses.