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Additionally, students should grasp the significance of BigData in various sectors, including healthcare, finance, retail, and social media. Understanding the implications of BigDataanalytics on business strategies and decision-making processes is also vital.
Descriptive Analytics Projects: These projects focus on summarizing historical data to gain insights into past trends and patterns. Examples include generating reports, dashboards, and datavisualizations to understand business performance, customer behavior, or operational efficiency.
This explosive growth is driven by the increasing volume of data generated daily, with estimates suggesting that by 2025, there will be around 181 zettabytes of data created globally. Real-Time Data Processing The demand for real-time analytics is growing as businesses seek immediate insights to drive decision-making.
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