Characteristics of big data analysis

 Bilal Hussain Malik

18/3/25




                                       Characteristics of big data analysis


Volume: The massive amount of data being generated second by second by sources like social media, sensors, transactions, etc. Big Data tools like Hadoop, Spark are designed to hold terabytes or petabytes of data.
Example: Facebook Processec 500+ TB of data daily from posts, images, and videos.

Velocity: It describes how rapidly the data is generated, processed, and analyzed. For example, real-time data streams from IoT devices or stock market tickers must be processed extremely fast to be of use.
Example:Stock market algorithms analyze real-time ticker data in milliseconds for trading decisions.

Veracity: Addresses data quality, accuracy, and believability. Noisy, missing, or inconsistent data can lead to unreliable conclusions.
Example: Twitter uses AI to filter fake news and typos from unreliable social media posts.

Value: Refers to the fact that data must be useful and significant to arrive at business or scientific value . Not everything is worth having; the objective is to discover business or scientific value.
Example: Netflix recommends shows by analyzing petabytes of user watch history to reduce churn.

Variety: Addresses the various forms of data, including structured databases, semi structured (JSON/XML), and unstructured text, images and videos. All these need to be handled by Big Data tools.
Example: Amazon combines structured sales data  with unstructured reviews (text) for insights.

Comments

Post a Comment

Popular posts from this blog

Definition of Big data

Image
Bilal Hussain Malik    16/3/25                                                                           Definition of big data Big Data refers to the vast, complex datasets that typical data processing technologies are unable to handle. It is defined by its defining aspects of volume, the vast magnitude of the data, velocity the speed with which data is generated and processed, and variety the diversity and type of the data, including structured, semi structured, and unstructured. In addition truthfulness ensuring data quality and verifiability and value decision-making utility of data are also important. The primary sources of Big Data include social networks, IoT devices, financial transactions, healthcare records, and government databases, all which generate large amounts of informati...
Read more

Contemporary Applications of Big Data in Society

Image
 Bilal Hussain Malik 18/4/25                                       Contemporary Applications of Big Data in Society                                                        Company: Siemens Mobility Application of Big Data: Intelligent traffic light systems and smart city traffic management Siemens Mobility applies big data in developing intelligent traffic light systems that ensure optimal traffic flow, reduce congestion, and ensure road safety in modern cities. The systems collect real-time information from various sources—such as traffic cameras, sensors embedded in roads, vehicle GPS tracking data, and weather. Functioning on sophisticated analytics and artificial intelligence, the traffic light system adapts in real-time to changing conditions. For...
Read more

Contemporary applications of big data in science(1)

Image
Bilal Hussain Malik 18/04/25                                       Contemporary applications of big data in science                                       Precision Medicine and Genomics Big data is an underpinning of precision medicine, which shapes healthcare according to individual genetic, environmental, and lifestyle differences. Through examining enormous quantities of genomic data, healthcare professionals are able to identify genetic mutations and biomarkers for specific diseases. Genomic sequencing of millions of patients generates gigantic datasets that are analyzed by machine learning in order to predict disease risk and recommend personalized treatments. This is especially groundbreaking in oncology, with therapies being tailored to the genetic signature of a patient's tumor. Further, real...
Read more