PrecisionHawk is a commercial drone and data company, dedicated to empowering enterprises with actionable intelligence about their physical assets. PrecisionHawk applies artificial intelligence (AI) to its drone footage to create aerial data. PrecisionHawk serves the agriculture industry, and in fact its name comes from the name “wine hawk” because its first drones chased pest birds from vineyards.
PrecisionHawk needed to improve its data architecture to further optimize its AI and client results. While PrecisionHawk has an industry-leading team of internal technologists, the specific challenge with its data structure required specialized skills.
Kopius* was engaged to analyze PrecisionHawk’s data architecture and make recommendations for improvement, and then implement those recommendations.
After a discovery process, Kopius proposed an Amazon Web Services (AWS) Data Pipeline as a web service that would reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. We then moved on-premise ETL (extract, transform, and load) processes to an AWS Data Pipeline. The solution uses the AWS cloud for data processing and transformation in a data pipeline.
The solution helped PrecisionHawk to easily create complex data processing workloads that are fault-tolerant, repeatable, and highly available. It allows resource availability, managing inter-task dependencies, retrying transient failures or timeouts in individual tasks, or creating a failure notification system. Using the cloud, it also allows the client to move and process data that was previously locked up in on-premises data silos.
*Kopius performed this work under its previously known business name, Valence.
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