5V's of Big Data | SPPU | DSBDA_1 скачать в хорошем качестве

5V's of Big Data | SPPU | DSBDA_1

• Big Data refers to extremely large and complex datasets that cannot be processed efficiently using traditional data processing systems. • The concept of 5 Vs explains the key characteristics of Big Data. • Volume refers to the massive amount of data generated from sources like social media, sensors, transactions, and digital platforms. • Velocity refers to the high speed at which data is generated, collected, and processed in real time or near real time. • Variety refers to the different types of data such as structured, semi-structured, and unstructured data including text, images, videos, and logs. • Veracity refers to the quality, accuracy, and reliability of data, highlighting issues like noise, inconsistency, and uncertainty. • Value refers to the meaningful insights and benefits that can be extracted from data to support decision making. • Understanding the 5 Vs helps in selecting appropriate big data tools and technologies. • The 5 Vs are essential for designing scalable and efficient big data analytics solutions. • This concept is a core topic in Data Science and Big Data Analytics (DSBDA) under SPPU engineering syllabus. #BigData #5VsOfBigData #Volume #Velocity #Variety #Veracity #Value #DataScience #BigDataAnalytics #DSBDA #SPPU #EngineeringSubject #DataAnalytics #Hadoop #Spark