Dimensions hosts an unprecedented collection of datasets on the Google BigQuery platform: 112 million publications with 1.3 billion citations, millions of grants, patents and datasets, 600,000 clinical trials, and more than 120 million Altmetric data points, all linked together to provide a comprehensive view of the research and innovation landscape.
BigQuery unlocks the full potential of the world’s largest research information database, but its scale also adds complexity that could otherwise be safely ignored: When querying billions of rows of data, even small performance improvements can mean big cost savings and dramatically faster loading times. In this webinar, we will review strategies for making your SQL queries more efficient, and for taking advantage of unique BigQuery features such as scheduled queries to make your projects run faster and cost less.