The field of data management is witnessing significant developments, with a focus on improving data literacy, SQL generation, and table discovery. Researchers are working on creating comprehensive frameworks for promoting data literacy in higher education, which includes defining competence areas and progression levels for curriculum design, teaching, and assessment. Furthermore, innovative approaches are being proposed for SQL generation, such as multi-agent frameworks that balance diversity, scalability, and generation cost. The importance of high-quality test data is also being emphasized, with new methods being developed for generating syntactically correct and semantically meaningful mock data for complex schema. Noteworthy papers include SQL-Factory, which proposes a multi-agent framework for high-quality and large-scale SQL generation, and High-Fidelity And Complex Test Data Generation For Real-World SQL Code Generation Services, which demonstrates the practical utility of large language models for generating realistic high-fidelity test data.