Model Management

Model management in big data analytics refers to the process of organizing, controlling, and maintaining analytical models used to make sense of large volumes of data. It involves tracking various versions of models, ensuring their effectiveness and accuracy, and facilitating collaboration among data scientists. Effective model management helps businesses efficiently deploy models for tasks like predicting customer behavior or identifying trends, while also ensuring compliance and governance standards are met. This structured approach allows organizations to maximize the value derived from their data and adapt to changing needs over time.