Stream Processing and Real Time Analytics in the Era of Data Engineering

The prevalence of increased streaming of data revolutionises organisations approach with stream processing and real time analytics through actionable and immediate insights in the generated data streams. Advancements in data engineering drives the stream processing and real time analytics. The present study explores the transformative impact of real time analytics by examining the major components in stream processing and real time analytics such as visualisation tools, in-memory storage, stream processing and data ingestion. It enables the decision-making using data, optimised operations and personalised user experience. The study examines the multinational retail corporations and video streaming services for data engineering. The major advantages are competitive and operational efficiencies enhanced customer experience and rapid insights on stream processing. The tremendous potential is highlighted for implementation of real time analytics and stream processing with integration complexities, skill gaps, privacy and security concerns, systems scalability, enhanced data quality and management of data volume. Stream processing engine is used for higher throughput and lower processing latency based on workload.