Resource Industry Mines Data Faster with Actian and Geological Data Design
产品
- Actian Vectorwise
- GDD Field Data Integrator
技术栈
- Bluetooth
- Database Management
影响指标
- Digital Expertise
- Productivity Improvements
技术
- 分析与建模 - 实时分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 矿业
适用功能
- 离散制造
- 产品研发
用例
- 预测性维护
- 远程资产管理
服务
- 数据科学服务
- 系统集成
关于客户
Geological Data Design (GDD) is a specialist in the collection, management, and analysis of exploration and mining data. They provide an end-to-end mining and exploration solution that makes working with large volumes of resources data faster and simpler. Their solution, the Field Data Integrator, combines best-of-breed technologies for collecting, managing, and analyzing data more rapidly. This enables geologists to collect samples in shorter time frames and then quickly analyze large volumes of sample data.
挑战
Geological Data Design (GDD) was facing the challenge of efficiently collecting, managing, and analyzing large volumes of exploration and mining data. The data collected during the day from various field instruments, GPS, and cameras often integrated into a very large database, in some cases hundreds of millions or even billions of records. This made it difficult for geologists to quickly analyze large volumes of sample data for complex scenarios such as project timings, cash flows, and profitability with greater sensitivity levels.
解决方案
GDD selected the record-breaking analytical database Vectorwise to power their Field Data Integrator. The Field Data Integrator automatically synchronizes sample data from various field instruments, GPS, and cameras onto a 'tough' tablet using Bluetooth. Geologists enter notes directly onto the tablet using on-screen or wireless keyboards, enabling all data on samples to be collected automatically into a single source. The tablet then automatically synchronizes with a master database running Vectorwise whenever in mobile range, saving geologists time in manual data entry. GDD chose the Vectorwise database for its ability to deliver significantly faster analysis of this data on commodity hardware.
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