Batch and Stream Processing
Batch and Stream Processing is a key capability in data engineering which involves managing and analyzing large and continuous data flows. It prioritizes the ability to process high volume datasets in batches or execute real-time analysis through streaming. This capability drives informed business decisions, enabling prompt action on insights derived from data.
Level 1: Emerging
At a foundational level you are familiar with the basic concepts of batch and stream processing in data engineering. You understand the difference between processing large volumes of data in groups versus handling continuous data in real time. You can follow established processes and support simple data tasks that contribute to timely and accurate business insights.
Level 2: Proficient
At a developing level you are able to support the setup and operation of batch or stream processing tasks using established tools under guidance. You can follow defined procedures to process and monitor data flows, spotting basic issues and raising them when needed. Your contribution helps your team deliver reliable data for analysis and reporting.
Level 3: Advanced
At a proficient level you are able to design, build, and optimize batch and stream processing pipelines that handle high-volume data for both scheduled and real-time analysis. You choose the appropriate processing methods for different business needs and troubleshoot issues as they arise. Your work ensures data flows reliably, enabling teams to make timely, evidence-based decisions.
