This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Community Data Comparison and Visualization Platform

vokke.com.au

Education

Information technology

Challenges in Time Series Data Management and Analysis

Academic researchers require efficient tools to compare and visualize massive volumes of time series data from diverse sources. Existing solutions lacked real-time processing capabilities, scalable similarity computation across multiple metrics, and infrastructure to handle billions of data points while maintaining interactive exploration capabilities.

About the Client

Prestigious academic institution focused on mathematics and interdisciplinary research collaborations

Project Goals for Data Comparison Platform

Develop a platform for uploading time series data in multiple formats (MP3, CSV, Excel)
Implement real-time similarity comparison using multiple metrics
Create interactive graph visualization for data exploration
Establish scalable on-premise infrastructure for high-volume data processing
Migrate thousands of existing time series datasets into the system

Core Functionalities and Features

Multi-format data upload capability
Real-time similarity computation using C-based cloud programs
Interactive graph plotting with exploration tools
Modified locality sensitive hashing algorithm for fast searching
Data migration tools for legacy time series datasets

Preferred Technologies and Tools

C programming

Docker

Cloud computing

Locality Sensitive Hashing (LSH) algorithm

Bare metal server infrastructure

Required System Integrations

Existing academic data repositories
Research collaboration platforms

Non-Functional Requirements

Scalability to handle billions of data points
High-performance computing for real-time metrics
Data security for sensitive research information
Reliable on-premise deployment with Docker networking

Expected Business and Research Impact

Enables breakthrough research through efficient time series analysis, accelerates academic discoveries with real-time data comparison, establishes scalable infrastructure for large-scale scientific data management, and fosters cross-institutional collaboration through standardized data sharing capabilities.