U.S. Law Enforcement Solves Crimes Faster
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- BigMemory Max
Tech Stack
- In-memory data management platform
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Digital Expertise
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Security & Public Safety
Applicable Functions
- Business Operation
Use Cases
- Real-Time Location System (RTLS)
- Remote Asset Management
Services
- Data Science Services
About The Customer
The customer is a U.S. government law enforcement agency. This agency is responsible for collecting and disseminating a massive repository of criminal justice records to fight, investigate, and prevent crime. The organization brings together arrest reports, traffic citations, probation files, photos, and other criminal records from federal, state, tribal, and local agencies. The agency's goal is to get the right information into the right hands as soon as possible to aid in law enforcement efforts nationwide.
The Challenge
The U.S. government law enforcement agency was facing a challenge in managing the massive influx of criminal justice records. The agency collects arrest reports, traffic citations, probation files, photos, and other criminal records from federal, state, tribal, and local agencies. As early as 2010, the agency was dealing with 1 million records or roughly 10 GB of data daily. However, the agency's disk-bound databases could not ingest, cleanse, and assimilate the information quickly enough. By 2013, data volumes had exploded 10x to 100GB streaming in daily.
The Solution
The agency initially deployed Terracotta Ehcache as a temporary caching solution but soon realized it would need the power of a full-fledged in-memory data management platform. To keep pace with 100GB of new crime data every day—or more than 4GB every hour—the agency created a 500GB in-memory data store using Terracotta BigMemory. BigMemory helps the organization meet its goal of getting the right information into the right hands right as soon as possible. By using BigMemory for high-speed data ingestion, the agency continues to run smoothly, despite a 10x increase in the volume of incoming data.
Operational Impact
Quantitative Benefit
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