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7 Types of Machine Data

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Machine data is data that is generated by machines without human involvement. It is an important category of data as machines create more far data than do people. The following are common types of machine data.


Sensors are devices that detect physical phenomena such as light and sound and turn it into streams of data. For example, video of a street corner or temperature readings from a part in a machine.


Data that is calculated from other data. For example, an algorithm that calculates a risk estimate for an investment based on market data.


Algorithms and artificial intelligence that attempt to predict the future. For example, a robot that attempts to predict the near future direction of pedestrians as it walks down the street.


Automated tasks that create data such as events, controls or commands. For example, a manufacturing control system may issue commands to a conveyor belt and create a status log.


Data about other data such as a timestamp that is added to event data.

Decisions & Interpretations

Machine decisions such as an algorithm that decides to approve a customer's application for credit.


Machines may generate transactions that have commercial and legal significance for the organization that owns the machine. For example, a machine may decide to execute a stock trade for a financial institution based on rules in an algorithm.
Overview: Machine Data
Data that is generated by machines without human involvement.
Related Concepts


This is the complete list of articles we have written about data.
Abstract Data
Atomic Data
Big Data
Cohort Analysis
Dark Data
Data Analysis
Data Architecture
Data Attribute
Data Cleansing
Data Collection
Data Complexity
Data Consumer
Data Control
Data Corruption
Data Custodian
Data Degradation
Data Dredging
Data Entity
Data Federation
Data Integration
Data Integrity
Data Liberation
Data Lineage
Data Literacy
Data Loss
Data Management
Data Massage
Data Migration
Data Mining
Data Owner
Data Producer
Data Quality
Data Remanence
Data Risks
Data Rot
Data Science
Data Security
Data States
Data Transformation
Data Uncertainty
Data Veracity
Data View
Data Virtualization
Data Volume
Data Wipe
Decision Support
Deep Magic
Empirical Evidence
Event Data
Hard Data
Information Assurance
Legacy Data
Machine Data
Market Research
Master Data
Misuse of Statistics
Personal Data
Personal Information
Predictive Analytics
Primary Data
Primary Research
Qualitative Data
Qualitative Info
Quantitative Data
Raw Data
Reference Data
Small Data
Soft Data
Source Data
Statistical Analysis
Statistical Population
Structured Data
Transaction Processing
Transactional Data
Types Of Data
Unstructured Data
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An overview of data with a list of examples.

Transactional Data

A definition of transactional data with examples.

Qualitative Data

A definition of qualitative data with examples.

Data In Rest

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Data Degradation

The basic types of data degradation.

Data Volume

The definition of data volume with examples.

Data Uncertainty

A definition of data uncertainty with examples.

Data Infrastructure

The definition of data infrastructure with examples.

Qualitative Data vs Quantitative Data

The difference between qualitative data and quantitative data.


A list of ways to automate.


An overview of over-automation.

Orchestration vs Choreography

The difference between process orchestration and choreography.

Types of Technology

A reasonably comprehensive list of information technologies.

Robotics vs Artificial Intelligence

The different between robots and AI.

Automation vs Robotics

The difference between automation and robotics.

Office Automation

The common types of office automation.

Autonomous Systems

Common types of autonomous systems.

Automation Risk

A definition of automation risk with examples.
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