streamingteknikker

Streaming techniques, or streamingteknikker, are methods for transmitting data continuously over a network, enabling access to content without full downloads. They cover media streaming (video and audio) and data streaming used in analytics and event processing.

In media streaming, content is delivered as small segments rather than a single file. HTTP-based adaptive streaming protocols, such as HLS and MPEG-DASH, provide multiple bitrates and manifests. The client requests segments whose quality adapts to bandwidth, aiming for smooth playback. Delivery relies on content delivery networks (CDNs) and edge caching to reduce latency.

Other approaches include real-time protocols such as RTSP, RTMP, WebRTC, and newer QUIC-based methods that emphasize low latency. Encoding and packaging decisions, codecs (for example H.264 and AV1) and containers influence efficiency and compatibility. Security, rights management, and digital rights management (DRM) are important considerations in professional streaming deployments.

Data streaming techniques focus on ingesting and processing continuous data streams. Tools like Apache Kafka, Apache Pulsar, and stream engines such as Flink and Spark Structured Streaming support ingestion, windowed computations, and stateful processing. Key concerns include backpressure, fault tolerance, and exactly-once semantics to ensure consistency.

Design decisions in streaming systems balance latency, throughput, reliability, and cost, taking network conditions, device capabilities, and use case into account. The technologies evolve with advances in codecs, protocols, and edge computing, shaping how media and data streams are delivered and processed.