What does it mean to process big data?
Processing big data involves collecting, organizing, and analyzing large volumes of data to extract valuable insights.
What tools are commonly used for big data processing?
Common tools include Apache Hadoop, Apache Spark, and NoSQL databases like MongoDB.
Can you explain the role of data analytics in this process?
Data analytics helps in interpreting the processed data, allowing businesses to make informed decisions based on trends and patterns.
What challenges are faced in big data processing?
Challenges include data quality, storage issues, and the need for real-time processing capabilities.
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