Using Amazon Web Services, Hadoop and our own code, we ingested 405,000 very large TIFF images, 3.3 million articles in SGML and 405,000 xml files mapping articles to rectangular regions in the TIFF’s. This data was converted to a more web-friendly 810,000 PNG images (thumbnails and full images) and 405,000 JavaScript files — all of it ready to be assembled into a TimesMachine. By leveraging the power of AWS and Hadoop, we were able to utilize hundreds of machines concurrently and process all the data in less than 36 hours.