Both the Internet of Things (IoT) and Big Data are currently trending topics that people frequently discuss in the information technology industry.
IoT
IoT is the collective network of interconnected objects and the technology that enables the communication between these devices and the cloud. With the advancement of affordable computer processors and high-speed telecommunications, there are now billions of Internet-connected devices. This allows everyday items like toothbrushes, vacuum cleaners, vehicles, and machinery to have sensors that collect data and respond intelligently to their owners’ actions.
Big Data
Big Data refers to the vast and continuously growing amount of data that a company collects but cannot analyze using traditional methods. It includes structured and unstructured data types and serves as the raw material for businesses to perform analytics and extract valuable insights. These insights can help companies develop more effective business strategies.
Differences between IoT and Big Data
Below highlights the main differences between IoT and Big Data:
Parameters of Comparison
IoT aims to create a network of interconnected devices, allowing intelligent machines to replace human mediators. Big Data involves compiling the latest information, such as statistics, news, or content, to aid in decision-making.
Data
IoT collects and processes data generated by machines, which is then aggregated and compressed by sensors like a steam iron. Big Data processes data created by humans, such as emails, social media posts, and other user-contributed information.
Real-time
IoT relies on real-time data collection, processing, and analysis to derive useful insights. Big Data processing does not occur in real-time. Data is collected first, and analysis takes place after some time.
Purpose
The main objective of IoT is to identify and resolve problems in assets using connected devices. Big Data analysis helps us uncover issues by exploring the vast amounts of collected data.
Result
In IoT, understanding the data collected by machine sensors is crucial for producing accurate results. Big Data Analytics derives conclusions from massive data sets using statistical frameworks.