Streaming technologies are crucial for real-time applications like shipment tracking and fraud detection, but they come with challenges that require careful management. Key issues include resource management, data heterogeneity, and gaps in streaming knowledge. Efficient resource management involves balancing resource allocation to prevent overspending or job failures, while utilizing metrics and auto-scaling services can optimize this process. Data heterogeneity is addressed through data standardization and quality control, allowing disparate data sources to be integrated effectively. Knowledge gaps in streaming technologies can be mitigated by investing in developer education and democratizing access to streaming platforms, making them easier to use with tools like SQL APIs. DeltaStream, a serverless platform, offers solutions by automating resource management, supporting various data formats and storage systems, and providing user-friendly interfaces to simplify stream processing.