Part 8/13:

• Ingestion and Processing: Using engines capable of processing streams either with minimal latency for immediate insights or batch modes for comprehensive analysis.

• Enrichment and Contextualization: Joining streaming data with historical information to provide richer insights, such as fraud checks during profile updates.

• Data Storage and Cataloging: Ensuring low-latency databases for persistent storage and mechanisms for data lineage and access control, vital for compliance and security.

• Analytics and Actions: Moving beyond dashboards to systems that trigger automatic responses—like adjusting marketing campaigns or flagging suspicious transactions.