Part 7/10:
While the potential of real-time data processing is immense, it presents several challenges. Building these systems requires a high level of expertise due to their complexity—covering data ingestion, transformation, state management, and output.
To overcome these hurdles, innovative solutions are emerging. For instance, continuous computation layers can abstract complex operations, making it easier to deploy and maintain real-time applications. Automated query generation, for example, simplifies data extraction and analysis workflows, reducing the need for extensive manual coding.
Furthermore, systems now leverage seamless integrations, enabling end-to-end workflows—from raw data ingestion, through filtering and aggregation, to actionable insights—within a unified architecture.