The Big Data Processing and Database Laboratory revisits the founding question of databases - how to store data well and find it well - at the scale and in the forms data takes today. It studies clustering algorithms, an unsupervised learning technique, for analysing big data across many fields efficiently, and develops mining techniques for the large graph data generated on social media such as Twitter, Facebook and Instagram. Indexing techniques and query processing optimisation for searching large multi-dimensional spatial data are also central subjects. More recently the laboratory has extended to indexing and query processing suited to searching geospatial data stored on a blockchain.