Large language models (LLMs) have recently demonstrated strong capabilities in code migration across languages, making them promising for SQL schema migration. However, achieving reliable and accurate SQL migration with LLMs remains a challenge. This paper presents the first comprehensive approach for practical and effective SQL schema migration using LLMs. We highlight the necessity of robust evaluation and iterative query refinement to achieve highly accurate migrations. Building on traditional database tools along with LLMs, we introduce novel checks to guide LLMs towards syntactically complete and functionally equivalent translations. Our approach supports all schema object types, including complex procedural constructs. Our demonstrations offer audience opportunities to explore our system using a variety of configurations, datasets and custom inputs, providing useful insights into the underlying techniques, their strengths, and limitations.

The farmers' movement began in November 2020, when more than 300,000 protesters marched towards New Delhi in India in opposition to new agrarian acts introduced by the Indian central government. Organised by over 400 farmers' unions along with other organisations, for the next year, farmers and allied protesters set up bases around New Delhi and sustained the movement leading to its eventual success. We conducted 20 semi-structured interviews with participants from the movement and explored the social organisation, the underlying technical infrastructures, and how collective action was organised. We outline how the social media ecosystem enabled hybrid forms of organisational structures and facilitated coalition-building between diverse groups. Further, the movement created and disseminated alternative media that opposed mainstream media narratives and facilitated community-building. We discuss how designed technologies and spaces can support social movements in the face of powerful antagonistic actors.