Data preparation is the process of exploring, combining, cleaning and transforming raw data into curated datasets for self-service data integration, data science, data discovery, business intelligence and analytics. To perform data preparation, Data Preparation Tools are used for data enablement to reduce the time and complexity of interactively accessing, cataloging, harmonizing, transforming and modeling data for analytics in an agile manner with metadata and lineage support. Some data preparation tools support machine-learning algorithms that can recommend or even automate actions to accelerate data preparation work.