Stream Processing (Kinesis Data Analytics)

What it is: Continuous processing of events as they arrive in a stream.

What it’s for:

• Real-time calculations (aggregations, filtering, anomaly detection).
• Produce up-to-date outputs for dashboards or APIs.

Key ideas:

• Streaming is continuous (unbounded data).
• Results can be written to a datastore for API reads (design-specific).

Exam cues:

• “real-time analytics on events” → stream processing (KDA).

Hard words:

• *unbounded* /ʌnˈbaʊndɪd/: không có điểm kết thúc (dòng dữ liệu liên tục)
• *aggregation* /ˌæɡrɪˈɡeɪʃn/: tổng hợp (sum/count/avg)
• *anomaly* /əˈnɑːməli/: bất thường
• *filtering* /ˈfɪltərɪŋ/: lọc