Test 10

High-performance computing is critical for the processing and analysis of data. One particularly widespread approach to computing for data engineering is Show more; background-clip: initial; overflow-wrap: break-word; font-family: sans-serif; font-size: 14px;" title="Dataflow programming">dataflow programming, in which the computation is represented as a directed graph (dataflow graph); nodes are the operations, and edges represent the flow of data.^[9] Popular implementations include Apache Spark, and the deep learning specific TensorFlow.^[9][10][11] More recent implementations such as Differential/Timely Dataflow have used incremental computing for much more efficient data processing.