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    1.4. Big Data - Big Insights - Class 12 - English Yuvakbharati

    • Feb 27
    • 5 min read

    Updated: Mar 7

     Genre: Prose (Informative Essay)


    1. Comprehensive Glossary

    Word

    Meaning (English)

    Meaning (Hindi)

    Petabytes

    Units of information equal to one thousand million


    पेटाबाइट (Petabyte)

    Exabytes

    Units of information equal to one quintillion


    एक्साबाइट (Exabyte)

    Incomprehensible

    Not able to be understood


    समझ के बाहर (Samajh ke bahar)

    Insights

    Deep understanding of a complex issue


    अंतर्दृष्टि (Antardrishti)

    Congestion

    State of being full or blocked


    भीड़-भाड़ (Bheed-bhaad)

    Impending

    About to happen


    आगामी/निकट (Aagami)

    Calamities

    Sudden damages or distresses


    आपदाएँ (Aapdayen)

    Epidemics

    Widespread occurrence of an infectious disease


    महामारी (Mahamari)

    Algorithms

    Process or set of rules for calculations


    कलन विधि (Algorithm)

    Permutations

    Different ways in which a set can be arranged


    क्रमचय (Kramchay)

    Demographics

    Statistical data relating to a population


    जनसांख्यिकी (Jansankhyiki)

    Inundated

    Overwhelmed with things or people


    भरमार होना (Bharmar hona)

    Pitfalls

    Hidden or unsuspected dangers


    खतरे/खामियाँ (Khatre)

    Brute force attacks

    Cyber attack relying on guessing passwords


    ब्रूट फोर्स हमला (Brute force attack)

    Veracity

    Conformity to facts; accuracy


    सच्चाई/सटीकता (Sachaai)

    2. Introduction & Summary


    Ice Breakers:

    • Business Suggestions: Based on data patterns, businesses can adapt. For example, if many people buy clothes from an online site, the company should offer personalized discounts. If TV viewership peaks between 8 pm and 10 pm, broadcasters should air their prime shows then.


    • Information Sources: Modern sources include Facebook, WhatsApp, web visits, and online purchases.


    Summary: "Big Data - Big Insights" explores how the massive volume of information generated through our online activities is revolutionizing our lifestyles. Big Data refers to petabytes or exabytes of data consisting of trillions of records from diverse sources like social media and web sales. It is characterized by five 'Vs': Volume, Variation, Velocity, Veracity, and Value.


    Through Big Data analytics, industries uncover hidden patterns and market trends to gain a competitive edge. The essay details its applications across eight sectors: Location Tracking via GPS; Weather Forecasting to predict calamities; Health Care through wearable gadgets and monitoring outbreaks; Banking to detect frauds; Sports for performance analysis; Advertising for targeted campaigns; Media for personalized recommendations ; and Education to design customized learning programs. Ultimately, Big Data acts as a "genie" that can be used for the optimum benefit of mankind.


    3. HSC Board Activity Sheet Pattern (Prose Section)


    A1. Global Understanding (2 Marks)

    • Set 1: True/False – 1. Big Data analytics involves examining small data sets. 2. Google Maps uses Big Data for real-time traffic updates. 3. Pharmaceutical companies have no interest in people's health data. 4. SEC uses Big Data to monitor financial markets. 5. Big Data promotes a 'one-size-fits-all' approach in education.

      • Answer: 1-False , 2-True , 3-False , 4-True , 5-False.


    • Set 2: Complete the Web – Sources of Big Data collection.

      • Answer: Facebook likes, WhatsApp shares, Website visits, Online purchases, Watching videos.


    • Set 3: Arrange in Sequence – 1. Analyzing data for insights. 2. Online activity recording. 3. Reaping business benefits. 4. Huge amount of data collection.

      • Answer: 2, 4, 1, 3.


    • Set 4: Correct the Sentences – 1. GPS helps identify accident-prone areas. 2. Netflix uses Big Data to decrease engagement.

      • Answer: 1. Correct. 2. Netflix uses Big Data to increase engagement.


    • Set 5: List the Industry Benefits – Identify two benefits for the Logistics industry.

      • Answer: 1. Reducing risks in transport. 2. Improving speed and reliability in delivery.

    A2. Complex Factual (2 Marks)


    1. How is Big Data collected? 

      -> Every online activity, such as liking a post on Facebook, sharing on WhatsApp, visiting websites, making online purchases, or watching videos, is recorded, monitored, and analyzed to collect huge amounts of data.


    2. Describe the role of Big Data in Location Tracking. 

      -> GPS and Google Maps use real-time data from sensors to provide information on traffic congestion, closed routes, and accident-prone areas. It also allows tracking of goods in transit.


    3. How has Big Data transformed the Health Care industry?

       -> Wearable gadgets and apps monitor heart rates, sleep patterns, and exercise. It allows for $24\times7$ patient monitoring in hospitals and helps doctors diagnose ailments better with reduced guesswork.


    4. Explain High-Frequency Trading (HFT) in the context of Big Data.

       -> In HFT, Big Data algorithms make buy and sell decisions in split seconds. These algorithms increasingly take into account signals from social media and news websites.


    5. How does the Education industry benefit from Big Data? 

      -> It allows for customized learning programs based on individual student needs, comprehension levels, and career abilities. It helps educational institutes improve their operational effectiveness.

    A3. Inference / Interpretation / Analysis (2 Marks)


    1. Interpret the statement: "Everything has changed 360 degrees."

       -> This implies a complete revolution in our lifestyle. Our food habits, healthcare, travel, and scientific pursuits have been entirely transformed by the insights provided by Big Data.


    2. Analyze why Big Data is compared to a "genie."

       -> It is called a genie because it can provide solutions to complex problems and "work wonders". However, just like a genie, its power must be used responsibly for the benefit of mankind.


    3. Why do internet giants track user behavior for advertisers? 

      -> By tracking transactions and interests, these giants provide data that allows advertisers to run highly targeted campaigns. This ensures users see ads based on their buying intent and demographics.


    4. How does Big Data help in predicting future cybercrimes? 

      -> Banks analyze past customer data and previous brute force attack patterns. This allows them to predict future attempts and prevent card fraud or net banking failures.


    5. Explain how Big Data reduces "unnecessary guesswork" for doctors. 

      -> With $24\times7$ monitoring and detailed analysis of past records and drug effects, doctors have precise data for diagnosis instead of relying on general assumptions.

    A4. Personal Response (2 Marks)


    1. Do you think Big Data has improved the quality of life? How?

      -> Yes, it has significantly improved life by making navigation easier via Google Maps and providing personalized healthcare. It also helps in disaster management by predicting calamities.


    2. What precautions will you take while sharing personal details on social media?

       -> I will be cautious about what I post. I will avoid sharing sensitive financial info and be aware that every activity is monitored by algorithms for targeted advertising.


    3. What are some negative things that can be done with Big Data?

       -> It can lead to a loss of privacy as everything we do is monitored. It could also be used for malicious purposes like targeted propaganda or sophisticated cybercrimes like brute force attacks.


    4. Would you prefer a customized learning program over a standard one? Why?

      -> Yes, because every student has a different comprehension level. A customized program designed through Big Data caters to individual strengths and weaknesses, making learning more effective.


    5. How can students use data to choose a career? 

      -> Students can analyze their own performance results and interests recorded over time. This data provides insights into their mental make-up and abilities, guiding them toward the most suitable career.


    END


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