Streaming

6 items

Data Pipelines — Data-Pipelines , Fault-Tolerance , Parallelization and +2 more
Architectural principles for reliable batch and streaming data pipelines; focusing on strict time semantics, exactly-once processing, optimal partitioning, observability, and reproducible states.
Real-Time Analytics Pipeline — Data-Pipelines , Fault-Tolerance , Olap and +2 more
A highly scalable real-time streaming pipeline engineered to continuously ingest and process high-volume user event streams; gracefully handling late arrivals and robust fault tolerance protocols.
Ad Click Aggregator — Analytics , Olap , Streaming and +1 more
A high-throughput streaming architecture for global ad click aggregation, ensuring exactly-once processing, robust deduplication, and sub-second reporting.
Video Transcoding & Streaming Pipeline — Data-Pipelines , Encoding , Media and +2 more
An inherently scalable video ingestion and transcoding system architecture; asynchronously chunking heavy media, extracting actionable features, and steadily outputting adaptive bitrates via worker pools.
Data Processing Architectures — Data-Pipelines , Fault-Tolerance , Parallelization and +2 more
A deep architectural comparison of data processing pipelines: evaluating Apache Spark's batch ETL model against Apache Beam's portable unified model and Apache Flink's native API for stateful processing.
Intervals & Constraints — Analytics , Data-Pipelines , Integrity and +1 more
A framework for balancing Latency (system Completeness) against Verification (data Integrity) by effectively choosing between Speculative execution and Pessimistic consensus intervals.