Question
: Discuss the need for Big Data technologies. Explain the characteristics of Big Data and describe how Big Data processing differs from traditional data processing systems.
Answer :
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Skip in 10
Big Data technologies are needed because the volume, variety, and speed of data generated in the modern digital environment have increased enormously. Data is produced through social media, e-commerce transactions, smartphones, sensors, Internet of Things (IoT) devices, banking systems, healthcare applications, websites, satellites, and business operations. Traditional database systems are often unable to store, manage, and analyse such massive and complex datasets efficiently. Big Data technologies provide scalable and cost-effective methods for collecting, storing, processing, and analysing data to support better decision-making and innovation. The need for Big Data technologies arises from several factors. First, organisations generate huge quantities of data that require distributed storage and processing. Second, data is generated continuously and often needs to be processed rapidly for real-time decision-making. Third, modern data exists in structured, semi-structured, and unstructured forms, including text, images, videos, audio, and machine-generated data. Big Data technologies help organisations extract useful patterns and insights from these diverse sources. They are widely used in areas such as fraud detection, personalised marketing, healthcare, scientific research, weather forecasting, transportation, and financial analysis. Big Data is commonly
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