This report outlines six best practices for real-time and streaming data pipelines. Organizations should first define use cases and determine how quickly data must be processed. Architectures must handle high-volume, diverse streams, support scalability, and remain cost-efficient. Pipelines should ingest, transform, and deliver data seamlessly, with orchestration tools for automation and monitoring. Platforms must enable advanced analytics, combining streaming and historical data. Governance is essential: ensuring data quality, compliance, metadata management, and security across fast-moving streams. A unified, cloud-based environment simplifies complexity and supports innovation.

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