2. How is Big Data Processed?
Processing Big Data means making sense of large amounts of information quickly and accurately. Here’s how it works: Batch Processing: Data is collected over time and processed in large chunks (batches). Example: analyzing daily sales after the store closes. Real-Time Processing: Data is processed immediately as it’s generated. Example: tracking live traffic updates or monitoring social media trends as they happen. Tools Used: 1. Apache Hadoop: Handles both storage and batch processing. 2. Apache Spark: Faster than Hadoop, processes large data in real-time.3. AI & Machine Learning: Helps in analyzing data patterns and making predictions.
2. How is Big Data Processed?
Subitha Periyasamy
Created on March 25, 2025
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Transcript
2. How is Big Data Processed?
Processing Big Data means making sense of large amounts of information quickly and accurately. Here’s how it works: Batch Processing: Data is collected over time and processed in large chunks (batches). Example: analyzing daily sales after the store closes. Real-Time Processing: Data is processed immediately as it’s generated. Example: tracking live traffic updates or monitoring social media trends as they happen. Tools Used: 1. Apache Hadoop: Handles both storage and batch processing. 2. Apache Spark: Faster than Hadoop, processes large data in real-time.3. AI & Machine Learning: Helps in analyzing data patterns and making predictions.