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Big Data Video Lecture | Science & Technology for UPSC CSE
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FAQs on Big Data Video Lecture - Science & Technology for UPSC CSE
| 1. What is big data and why is it important? |  |
Big data refers to the large and complex sets of data that cannot be easily managed or processed using traditional data processing methods. It is important because it allows organizations to gain valuable insights and make data-driven decisions. Big data analysis helps businesses understand customer behavior, optimize operations, and identify new opportunities.
| 2. How is big data collected? | |
Big data is collected from various sources such as social media platforms, internet browsing activities, sensors, mobile devices, and online transactions. It can also be generated from machine-generated data, log files, and data from enterprise applications. With the advancement of technology, data collection methods have become more sophisticated and automated.
| 3. What are the challenges of managing big data? | |
Managing big data poses several challenges, including data storage, data integration, data security, and data quality. Storing and processing large volumes of data requires robust infrastructure and technologies. Integrating data from different sources and formats can be complex and time-consuming. Ensuring the security and privacy of sensitive data is crucial. Additionally, maintaining data quality and accuracy can be challenging due to the sheer volume and variety of data.
| 4. How is big data analyzed and utilized? | |
Big data analysis involves extracting, transforming, and analyzing large datasets to uncover patterns, trends, and insights. Various analytical techniques, such as data mining, machine learning, and predictive modeling, are used to derive meaningful insights from big data. Organizations utilize these insights to improve decision-making, optimize business processes, personalize customer experiences, and develop innovative products or services.
| 5. What are the ethical implications of big data? | |
Big data raises ethical concerns related to privacy, consent, and discrimination. Collecting and analyzing large amounts of personal data can infringe on individuals' privacy rights. Ensuring proper consent and transparency in data collection and usage is essential. Additionally, biases in the data or algorithms used for analysis can lead to discriminatory practices. It is important for organizations to establish ethical guidelines and practices to address these concerns and protect the rights of individuals.
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