Customer Case Study


Bechtel Corporation is an engineering, procurement, construction, and project management company. It is the largest construction company in the United States.


Industrial and Manufacturing

Vertical Use Case

Identify opportunities to improve construction sequencing to accelerate completion times and save operational costs.

Technical Use Case

  • Data Ingest and ETL
  • Machine Learning
  • Deep Learning

The Challenges

  • 98% of construction mega-projects overrun on cost or time.
  • Unable to scale to effectively handle large neural networks.
  • They were building algorithms that would have taken years to run on their previous hardware.
  • Poor collaboration between data engineering and data science due to team and data silos.
  • Too much time spent on lower-value activities (maintenance, upgrades, security issues, governance, and controls).

The Solution

  • Apache Spark as the unified analytics engine for ETL, analysis, and data science.
  • Databricks Unified Analytics Platform to simplify infrastructure management, foster cross-team collaboration, and train and deploy deep learning models through a more iterative and automated process.
  • Federated their security controls to ensure a single set of permissions to access the platform.
  • Can potentially yield 10s to 100s of millions of dollars in savings and value add to their customers.

With Databricks, data scientists are empowered to marshal the resources they need on demand, developers can focus on productionizing the code and pushing out services, and the business is able to collaborate directly with data scientists in real-time. This enables us to iterate much faster.

Justin Leto, Sr. Big Data Architect and Engineer at Bechtel