5 V’s?—?Big Data
Shoukath Ali Shaik
MSc in Data Science @ Indiana University Bloomington | 2x Microsoft Azure Certified | Aspiring Data Engineer ( AI / ML) | Data Scientist | Big Data Developer | Software Engineer | PySpark | GenAI | MLOps
What is Big Data?
Big data is a descriptive definition of data (system) that cannot be stored (processed) using traditional databases (computational technologies).
The popular characteristics of Big data are 5 V’s?—?
Volume: Amount of data generated every second?—? Massive data, growing rapidly, requires a scalable and robust system to effectively store and manage it.
- The Average internet user creates 1.7 MB of data every day.
- Approximately 328.77 million terabytes of data are created every day.
Velocity: Speed at which data is created, processed, and analyzed.
Variety: Various forms of data.
领英推荐
Veracity: Pertains to the reliability and accuracy of data.
Poor data quality can lead to incorrect conclusions and decision—making.?
Ensuring the veracity of data?—?through methods to clean, verify, and validate it?—?is crucial for effective decision-making.
Value: The final V stands for value, the importance of turning big data into business value.
This involves extracting actionable insights from raw data that can lead to improved decision-making, innovative products, and better customer experiences.
About me?-
Hello! I’m Shoukath Ali, an aspiring data professional, with a Master’s in Data Science?—?Big Data and a Bachelor’s in Computer Science and Engineering.
If you have any queries or suggestions, please feel free to reach out to me at [email protected]
Connect me on LinkedIn?—? https://www.dhirubhai.net/in/shoukath-ali-b6650576/
Disclaimer?—?
The views and opinions expressed on this blog are purely my own. Any product claim, statistic, quote, or other representation about a product or service should be verified with the manufacturer, provider, or party in question.
Enterprise Architect
10 个月Very Nice way of categorizing