Types of data

 Types of data

There are various types of data one needs to understand 

So that one can plan well regarding data capture, management, and usage.

Below are some of them:-

I have purposely left one box missing, Let me know what data type you feel is important. 

Structured data - Typically in some form of structure, stored in a tabular form. RDBMS databases like Oracle

Geospatial data - Data Related to locations on earth

Streaming Data - The output of a lot of data in large volumes continuously, like gaming, videos etc

Synthetic Data - Tools or AI technology artificially create this data, which is utilized for testing, research, and machine learning.

Binary Data - Data which is usually stored in the format of audio, video files

Sentiment Data - Data like emails, chats, and comments are used to analyze the emotional tone of the message

Spatiotemporal data - This data includes location and time, which enables tracking, like cab tracking

Open data - The data that is free for the public to use, edit, and share for any purposes

Real-time Data - With 5g technology, this data is captured in real-time and analyzed in real-time, which is valuable for traffic emergency systems.

High-dimensional data - The number of variables (or dimensions) is significantly larger than the number of samples, for example, used in IOT smart farming and facial recognition.

Transactional Data - Data generated due to various transactions like payment, e-commerce shopping,

Batch Data - Data in high volumes is collected and processed

Dark Data - Information that is collected and stored but not used in any meaningful way

Machine Data - Data generated by the systems automatically across an organization's data center

Genomics Data - Data about the organization and operation of an organism's genetic material. For example, analyzing DNA of patients

Big Data - Large and complex data sets that doesn't fit the traditional RDBMS

Biometric - Data that deals with biometic data like face, finger prints and voice

Sensor Data - Data collected from various sensors like temperature, Gyroscope sensors

Social Media Data - Data collected from all the social media applications and further leveraged for various purposed

Semi-Structured - Data which is in a format like JSON and which doesn't conform to data model

Unstructured Data - Text files in PDF, email that doesn't follow any structure or data model

Time series data - Data captured over interval of time continuously and consistently