How Google Cloud's AlloyDB Empowers Bayer Crop Science to Overcome Data Challenges | Cloud Wars Live

Bayer’s Data Evolution with AlloyDB


The Big Themes:


Data complexity and intelligent agriculture: Bayer Crop
Science is addressing agriculture's complex data challenges. The
company integrates data such as satellite imagery, weather
conditions, soil data, and IoT device inputs, to drive innovation
in seed development and farming practices. By leveraging cloud
technologies like AlloyDB, Bayer's teams can support the future
of farming, despite challenges posed by climate change and rising
global food demand.

Integrating BigQuery for comprehensive analytics: To further
enhance its data-driven insights, Bayer integrates Google
BigQuery alongside AlloyDB for extensive data analysis. BigQuery
serves as the central analytics warehouse, receiving billions of
phenotypic data points for in-depth modeling and decision-making.
During harvest season, Bayer can quickly access and analyze
comprehensive datasets, enabling better decisions across
production and supply chains.

Harvest season demands and system resilience: During harvest
season, Bayer Crop Science faces intense pressure as high volumes
of data flow in, requiring real-time analysis and
decision-making. The peak demand period sees a sharp increase in
read and write operations, making it essential for Bayer's data
system to function seamlessly. AlloyDB played a crucial role in
handling these spikes by providing low-latency data processing
and high availability.



The Big Quote: “Climate change is a new challenge. You see some
of these forecasts coming out of academia that yields will go
down by 30% — that will arrest this great trend that we've seen
continually increasing over the last 100 years. We need to solve
for that, and that's going to take new types of data and new
approaches and these types of things."


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