Sevatec

Customer Case Study

Sevatec

Sevatec is a high-technology services firm that engages trusted talent and leverages technology innovation to overcome the federal government’s most pressing challenges. Sevatec supports a number of mission-critical applications across the federal government, to include Homeland Security, Department of Defense, Department of Transportation, Department of State, and other federal and civilian agencies.

Industry

Federal

Vertical Use Case

  • End-to-end analytics to deliver machine learning applications

Technical Use Case

  • Data Ingest and ETL
  • SQL Analytics
  • Machine Learning

The Challenges

  • Difficult to ingest and prepare data across 30+ disparate systems
  • Support a 2000+ users who are siloed and have different skill sets (BI users, statisticians, data engineers, data scientists, business)
  • Lacked the ability to prepare a single view into the data for data science
  • Inability to scale their data science efforts as they were using RStudio on a single node
  • Used a variety of disjointed tools to perform large data extractions which created substantial DevOps complexity
  • System was being heavily taxed by very IO intensive queries, impacting their ability to meet SLAs and the demands of the rest of their user community

The Solution

Sevatec leverages the Databricks Unified Analytics Platform to simplify data analytics for Federal agencies. They’ve greatly simplified data engineering through a fully-managed, cloud platform and has accelerated data science innovation by fostering a culture of collaboration and transparency.

  • Democratize access to data across their various data sources through APIs and data source connectors. Reduced access an ingest times from hours to minutes.
  • Able to build build machine learning models at scale against the entire data set
  • Simplified infrastructure management and eliminated unnecessary DevOps work through automated and secured cluster management
  • Interactive workspace allows various users to collaborate on the data and run data science experiments that lead to innovative machine learning models

With Databricks, we get the secured, easy access to the data without worrying about the engineering behind it.

Rakesh Pol, Director of Data Services at Sevatec