Migration to Databricks Accelerates Data Processing and Reliability
The client, a leading real estate investment firm, partnered with FullStack to streamline data processing, enhance performance, and significantly reduce operational costs.
85%
Improvement in reliability
<30 minute
Data processing times, down from 8+ hours
3
Separate data processing services consolidated
Opportunity
Reliable and rapid access to data is critical for real estate investors. Before the project, the client's data infrastructure relied on three separate data services, including costly on-premises servers. The client's internal and external data users faced frequent outages and delays due to this legacy solution.
Seeking a more efficient and modern solution, the client decided to migrate to Databricks.
Solution
FullStack worked with the client's team to perform a comprehensive data migration and transformation that involved rewriting and refactoring code to enhance performance, implementing Delta Live Tables for efficient data processing and cost management, and standardizing data processing and integration using a unified framework.
Additionally, FullStack provided training sessions to help the client's team adapt to the new platform. They established DevOps automations with GitHub to improve workflows, resulting in a streamlined, modern data infrastructure.
Outcomes
<30 Minute Data Processing
Data processes that previously ran overnight can now run in 10-30 minutes, enabling near real-time investing data availability.
Cost Savings & Consolidation
The new solution consolidates costs from third-party licenses and on-premises servers into a single cloud-based solution.
85% Reliability Improvement
Data outage occurrences have been reduced from 1-2 per week to <1 per month, ensuring more reliable access to critical data.
Improved Data-driven Decisions
Improved data accessibility and processing enable better and faster investment decisions. The new solution pulls near-real-time data from over 50 sources, including government tax codes.