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Big data analytics involves analyzing vast amounts of complex data to uncover patterns, correlations, and trends. It typically includes:
1. **Data Collection:** Gathering data from various sources, such as social media, sensors, and transactions.
2. **Data Processing:** Using technologies like Hadoop and Spark to handle large datasets.
3. **Data Analysis:** Applying statistical methods, machine learning, and algorithms to find insights.
4. **Data Visualization:** Creating charts and dashboards to represent findings clearly.
### Summary:
Big data analytics helps organizations make sense of massive amounts of data to drive decisions and uncover valuable insights.
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