Geo-Hiker™

Spatio-Temporal Big Data Engineering Platform

As the world is becoming progressively instrumented and interconnected, data is more ubiquitous and richer than ever before. Unbeknownst to many, 80% of all data is spatio-temporal (space-time) – data that has both location and time-series information.

The multi-dimensional nature of spatio-temporal big data itself makes it more complex and more hardware-heavy to aggregate and process than general big data. Thus, specialized technology and functions are required to do spatio-temporal big data processing more efficient.

Wherever spatio-temporal data exists, Geo-Hiker can be applied.

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Booster for efficient analysis and optimized decision-making

Geo-Hiker is used to optimize existing big data processes to treat data faster and more cost-efficiently in a large scale.

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High compatibility
& scalability

Through 100% Hadoop Eco-System compatibility and support functions of various data stores and visualization tools, existing big data systems can enjoy the benefits of Geo-Hiker’s high-performing spatio-temporal data processing architecture without data or system migration.

Reduce Hardware Costs

90%

Increase System Speed

40x

GEO-HIKER USE CASES

 

Smart City

  • Road Safety Service (Commercial Drivers)

  • Fine-Dust and Pollution Analysis and Prediction Testing

  • Predicted 238B dollar industry by 2022

 

Forest/ Agriculture

  • Tourism & Forest Recreation Service Platform

  • AI-based Decision-Making Platform for Field Crops

Future Mobility

  • Autonomous Vehicle Communication system analysis

  • Aerospace and airport data enhancements

  • Predicted 620B dollar industry by 2025

 

Weather/Pollution

  • Air Quality Decision-Making Platform based on weather information

  • Smart Livestock Decision-Making Platform based on weather information

Healthcare

 
 

Smart Factory

  • 2D/3D Monitoring, Automatic Meter Reading, Digital Twin

  • Energy Reduction, Automation Processing Control

  • Fault & Anomaly Detection

FAQs

What is “spatio-temporal” big data?

Spatio-temporal big data is multidimensional big data that has both time-series and location information. This can be anything from tracking vehicles, recording weather phenomena, observing demographic changes, etc. Even your mobile phone’s GPS location combined with time stamp is spatio-temporal data. Processing and analysis of spatio-temporal data can be challenging due to its vast quantity by nature and multidimensional characteristics since space has unlimited directions. By not utilizing spatio-temporal -specific processing functions, companies suffer from unnecessarily high processing costs and slow system speed.

Can I customize Geo-Hiker to suit my needs?

Yes, Geo-Hiker boasts over 80 spatio-temporal processing functions and over 60 industry specific machine learning algorithms ensuring that all data needs can be met.

Can you help me analyze my existing data?

Dtonic currently does not offer data analysis services but through data engineering consultation, we can enable you to analyze your existing data.

I already have a big data system. How can I switch to Geo-Hiker to save costs and get faster processing?

Geo-Hiker is 100% compatible with nearly all big data systems (incl. Hadoop ecosystem, Apache Spark, etc.), most existing big data systems, both on-premise and in cloud, need minimal data and system migration to benefit from Geo-Hiker’s efficient architecture. Geo-Hiker can be implemented into your existing big data system through a simple installation.

What programming languages does Geo-Hiker support?

Geo-Hiker currently has multi-language support with Scala, Java, Python and R. Further language-support is currently on the way.

How much does it cost?

Geo-Hiker is a software package supplied through license with a one-time fee. Get in touch with our team to learn more about pricing and licensing models that fit your business.

Have More Questions?

Get in touch through the form below and we will get back to you in 1-3 business days.