Abstract: eGovernment data is typically very rich, mixing many different kinds of content ranging from relational data to unstructured text. The complexity of integrating those various kinds of data is in my opinion one of the main hurdles slowing down eGovernment endeavours. In this talk, I will advocate Big Data Integration techniques to solve this issue. I will start this talk by giving an overview of Big Data Integration techniques. I will then describe two recent systems built in my lab and leveraging such techniques: ZenCrowd, a socio-technical platform that automatically connects Web documents to semi-structured entities in a knowledge graph, and Guider, a Big Data Integration system for the cloud.