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Explore the importance of effective data management in AI applications and the plethora of tools available for the task. High-quality data management ensures the output quality of AI models, eases accessibility for AI developers, maintains security, supports scalability, and enhances decision-making. The chapter reviews various data management tools ranging from Database Management Systems (DBMSs) like MySQL and MongoDB, data preparation tools such as Trifacta and Alteryx, to big data tools like Hadoop and Spark. Also discover the best practices to follow for successful data management, including clear governance policies, prioritizing data quality, ensuring data security, and automating processes where possible. Step into this comprehensive chapter to learn more about making the most out of your data for robust AI applications.