How to handle big data properly with SurrealDB
Blog post from SurrealDB
SurrealDB offers a comprehensive approach to handling big data, as explored by co-founder Tobie Morgan Hitchcock and software engineer Micha de Vries. Their discussion focuses on the nuances of managing time series data and selecting appropriate record IDs, comparing random, sequential, and complex IDs. The session also covers the creation of pre-defined aggregate views to handle large-scale queries efficiently, and the strategic splitting of data across tables with the use of record links or embedding data into records. Additionally, they address how different methods of data organization can impact search functionality. The platform is positioned as secure and enterprise-ready, with certifications such as SOC 2 Type 2, GDPR, Cyber Essentials Plus, and ISO 27001, reflecting its commitment to data security and compliance.