What is Big Data?
Big Data is a body of information that is enormous in volume and is constantly expanding exponentially. None of the conventional data management technologies can store or analyze this data effectively due to its bulk and complexity. Big data is just data, except it’s much more significant. To know more about types and advantages of Big Data, join Big Data Training in Chennai.
Characteristics Of Big Data
The following traits can be used to define big data:
- Volume
- Variety
- Velocity
- Variability
(i) Volume:
The name Big Data itself is related to its enormous size. Data’s size plays a crucial role in determining the value of data. Also, whether a particular data can be considered Big Data or not is dependent upon the volume of data. Hence, ‘Volume’ is one characteristic which needs to be considered while dealing with Big Data solutions.
(ii) Variety :
Different sources and data types, both organized and unstructured, are called variety. In the past, most programmes solely took data from databases and spreadsheets into account. Today’s analytical software also considers data in the form of emails, images, videos, monitoring devices, PDFs, audio, etc. This type of unstructured data presents unique challenges for data mining, storage, and analysis.
(iii) Velocity:
The speed at which data is generated is referred to as “velocity.” The true potential of the data is determined by how quickly it is generated and processed to satisfy demands.
The speed at which data enters from sources such as business processes, application logs, networks, social media sites, sensors, mobile devices, etc., is referred to as big data velocity. There is a significant and constant influx of information.
(iv) Variability:
This refers to the inconsistent nature of the data, which occasionally makes it difficult to handle and manage it properly.
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Advantages Of Big Data Processing:
- Multiple advantages result from Big Data processing in DBMS, including Businesses that can use outside intelligence while making judgments.
- Businesses can adjust their business plans thanks to the availability of social data from search engines and websites like Facebook and Twitter.
Enhanced Client Services:
New systems created using Big Data technology are replacing conventional consumer feedback systems. These innovative systems read and assess customer feedback using big data and natural language processing technologies.
- Early detection of any risk to the goods or services.
- improved operational effectiveness
Big Data technologies can be used to create a staging area or landing zone for new data before identifying what data should be moved to the data warehouse. In addition, such integration of Big Data technologies and data warehouses helps an organization offload infrequently accessed data.
Conclusion:
So far, we have discussed big data and its characteristics, and join Big Data Training in Coimbatore to know more about the Big Data domain.