How do you engineer an analytical system that painstakingly crunches through 72 GB of crop-harvest data every single day? With a little bit of Google magic, of course. At Bayer Crop Science, we redesigned a legacy platform from the ground up to handle the scalability and reliability needs of scientists and agronomists around the world, using Google Cloud services as well as several of its open-source tools. We'll show you how we've built a cost-effective, observable, value-add system that allows Bayer to deliver real human value to the world.

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