Question - What are the different big data processing techniques?
Answer -
Big Data processing methods analyze big data sets at a massive scale. Offline batch data processing is typically full power and full scale, tackling arbitrary BI scenarios. In contrast, real-time stream processing is conducted on the most recent slice of data for data profiling to pick outliers, impostor transaction exposures, safety monitoring, etc. However, the most challenging task is to do fast or real-time ad-hoc analytics on a big comprehensive data set. It substantially means you need to scan tons of data within seconds. This is only probable when data is processed with high parallelism.
Different techniques of Big Data Processing are:
- Batch Processing of Big Data
- Big Data Stream Processing
- Real-Time Big Data Processing
- Map Reduce