Built a Cloud-Native Data Platform
Designed and implemented a scalable AWS-based architecture to modernize ATTOM's property and neighborhood data ecosystem.
Case Study
Modern Real Estate Data
We partnered with ATTOM to modernize their real estate data infrastructure and overcome the limitations of legacy systems. Our objectives were clear: build a scalable, cloud-native platform for real-time data access, elevate data quality, and cut operational costs. Through the implementation of a dynamic data pipeline and a robust data quality framework, we significantly boosted data agility, speed, and reliability. This transformation not only enhanced operational efficiency but also reinforced ATTOM’s position as a leader in real estate intelligence.
Vision
At ATTOM, we are building a cutting-edge, cloud-native platform designed to deliver real-time, high-quality real estate data at scale-faster, smarter, and more cost-efficiently than ever before. This next-generation foundation enhances data accuracy and agility, positioning us to lead the industry into an AI-powered future.
The challenge
ATTOM's legacy systems struggled with slow data processing, inconsistent data quality, and limited scalability, making it difficult to deliver timely insights and onboard new data sources efficiently.
The solution
A modern cloud-native data architecture was implemented to enable faster data ingestion, improve data quality, and support scalable, real-time analytics for future growth.
What we did
Created a Robust Data Lake
Leveraged Amazon S3 and AWS Glue to build raw and curated data zones for efficient storage, processing, and analytics.
Enabled Real-Time Data Ingestion
Integrated Kafka and Spark Streaming to process incoming data streams in real time and deliver faster insights.
Improved Data Quality & Efficiency
Enhanced data reliability and reduced operational overhead through automated pipelines and scalable cloud services.
Key Features
Real-Time Data Processing
Harness the speed and scale of Kafka and Spark for real-time data ingestion and processing. Deliver near-instant access to fresh data, enabling timely, data-driven decisions that keep you ahead of the curve.
Data Quality Rules Engine
Ensure consistent, trustworthy data with our intuitive, rules-based quality engine. Define, manage, and monitor data integrity through a user-friendly interface-boosting confidence in your analytics and reporting.
Scalable Serverless Infrastructure
Optimize performance and reduce operational costs with our serverless framework. Dynamically scale your data operations without the complexity of managing servers-flexibility built for growth.
Centralized Data Catalog
Streamline governance and collaboration with a single source of truth. Our centralized data catalog simplifies discovery, access, and usage of your data assets, improving transparency and team productivity.
The
Impact
1
Faster Data Processing
Reduced data latency from hours to minutes, enabling near real-time property and neighborhood insights.
2
Enhanced Data Accuracy
Improved the reliability and consistency of data through a robust rule-based quality engine.
3
Streamlined Workflows
Automated manual processes and enhanced team productivity across data ingestion and transformation pipelines.
4
Scalable Data Platform
Built a cloud-native architecture capable of seamlessly onboarding new data sources and supporting future growth.
5
Real-Time Insights
Empowered teams and clients with timely, actionable insights for faster and more informed decision-making.