Part 7/13:

Traditional batch processing proved inadequate for such scenarios, prompting a transition towards streaming data platforms. These systems facilitate the ingestion, enrichment, and instant analysis of high-velocity data streams. However, the speaker cautioned that real-time is not a silver bullet; discerning which use cases require immediate responses versus those that benefit from delayed, deeper analysis remains essential.

Building and Managing Data Pipelines

The session outlined the stages of a real-time pipeline:

• Event Emission: Capturing discrete events with clear contracts—defining frequency, size, and data format.