Data Preprocessing Options for Enterprise Machine Learning
Data preprocessing is one of the most important parts of enterprise machine learning. A model can only learn from the data it receives. If the data is messy, inconsistent, incomplete, or prepared differently in production, the model will be difficult to trust. This guide explains the main preprocessing options and when to use each one. Quick Answer Use BigQuery for tabular data and SQL-based transformations. Use Dataflow for large-scale, streaming, or unstructured data pipelines. Use Dataproc when your team already works with Spark or Hadoop. Use TensorFlow Transform when preprocessing must be part of a TensorFlow training and serving workflow. ...