Data Engineering on Unstructured Dataset Using AWS for a US-Based Home Automation Company
Overview
Our client is a US-based OEM producing HVAC equipment, water heaters, and boilers for residential and commercial buildings. They needed a secure and economical solution for large data set analysis.
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Challenges
Complex Cloud Environment
Structure the format of 120K+ live devices that send 40GB data per day, and it is expanding
Limited Security Expertise
Designing a scalable, secure, and cost-effective solution with flexible architecture and
Evolving Threat Landscape
The company needed to stay ahead of emerging cyber threats
Benefits
Leverage the data for clinical and operational decisions to support and deliver value-based healthcare
Improved Security Posture
Our experienced team with a proven track record ensures that you receive expert guidance every step of the way.
Enhanced Visibility
We offer customized, comprehensive cybersecurity coverage, designed to meet your unique business needs.
Reduced Costs
Utilizing cutting-edge tools, we continuously innovate and improve to stay ahead of emerging threats.
Compliance Adherence
With a focus on collaboration and results, we prioritize building solutions that work effectively for your organization.
Benefits
Leverage the data for clinical and operational decisions to support and deliver value-based healthcare
Improved Security Posture
Our experienced team with a proven track record ensures that you receive expert guidance every step of the way.
Enhanced Visibility
We offer customized, comprehensive cybersecurity coverage, designed to meet your unique business needs.
Reduced Costs
Utilizing cutting-edge tools, we continuously innovate and improve to stay ahead of emerging threats.
Compliance Adherence
With a focus on collaboration and results, we prioritize building solutions that work effectively for your organization.
Outcomes
Leverage the data for clinical and operational decisions to support and deliver value-based healthcare
- Enabled faster data transformation by dividing day execution into hour execution for time series data
- Designed pipelines to process data for 1 year that continuously delivered meaningful insights to client
