Operations
Operations in data science refer to the processes and activities involved in managing and maintaining data systems, including data collection, storage, processing, analysis, and visualization. This includes the development and implementation of data pipelines, data cleaning and preprocessing, data transformation and integration, and the deployment of machine learning models. Operations also involve the management of infrastructure and resources, such as cloud computing platforms, databases, and servers, to ensure efficient and reliable data processing and analysis. Effective operations are critical for ensuring the accuracy, reliability, and scalability of data systems, as well as for optimizing performance and minimizing costs.
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