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What is Raw data?

Raw data refers to unprocessed information collected from various sources, such as sensors, databases, or surveys. It lacks structure and requires cleaning, transformation, and analysis before being used in decision-making, machine learning, or statistical modeling.

Automated machine learning
AutoML refers to the process of automating the selection, training, and tuning of machine learning models. It enables users, including those without extensive expertise, to build AI models efficiently by automating tasks like feature selection, hyperparameter tuning, and model evaluation.
Metadata
Metadata refers to descriptive information about data, providing context such as structure, source, and usage. It enhances data discovery, management, and governance, playing a critical role in data catalogs, indexing, and search optimization.
Tabular Data
Tabular Data is structured information organized in tables, typically found in spreadsheets and relational databases. It is widely used in business intelligence, financial analysis, and machine learning models that rely on structured datasets.