Transformed Market4U’s BI Capabilities with a Scalable Data Platform
Client Overview
Market4U, a growing fintech company, faced challenges with its existing BI tools—Metabase, Oracle BI, and Vertica. As data volumes and real-time analytics demands increased, these tools struggled to deliver the necessary performance. Market4U partnered with Datum Labs to build a high-performance data platform to future-proof their data infrastructure and provide real-time insights.
Key KPIs Achieved
- Real-Time Dashboards – Less than 5-second latency for dashboard updates.
- Query Performance – 5x faster query execution with ClickHouse.
- Data Pipeline Efficiency – Streaming data ingestion with under a 2-second lag.
- Adoption Rate – 100% of the Trading Department transitioned to the new platform.
- System Uptime – 99.9% availability for dashboards and data pipelines.
- Automated Deployment – 100% CI/CD-driven deployments, reducing manual intervention.
- Data Accuracy – Less than 0.01% discrepancy between raw and transformed data.
Market4U’s BI & Data Challenges
- Fragmented BI Tools – Market4U’s existing tools lacked performance and real-time analytics capabilities.
- Scaling Data Infrastructure – As data volumes grew, their existing setup couldn’t support high-speed querying.
- Real-Time Trading Insights – Traders needed instant access to live data for decision-making.
- Limited Production Access – Deployment restrictions required a fully automated CI/CD pipeline for smooth rollout.
The High-Performance Data Platform We Delivered
Market4U’s new data platform was built with advanced technology to ensure scalability, automation, and real-time performance:
1. Real-Time Data Streaming with Kafka
- Ingested data from multiple sources, including databases, logs, and MongoDB.
- Streamed data directly into ClickHouse for efficient processing.
2. Optimized Data Transformation in ClickHouse
- Developed structured transformation layers for analytics and reporting.
- Ensured high-speed querying and minimal latency.
3. Interactive Dashboards in Apache Superset
- Built real-time dashboards customized to traders’ needs.
- Ensured smooth data exploration and visualization.
4. Fully Automated CI/CD Pipeline
- GitLab CI/CD automated ETL deployment, testing, and monitoring.
- Dockerized services ensured smooth environment transitions from staging to production.
Technology Stack Behind the Transformation
- Data Infrastructure & Warehousing: ClickHouse (High-performance OLAP database).
- Data Ingestion & Streaming: Apache Kafka (Real-time streaming from multiple sources).
- BI & Visualization: Apache Superset (Interactive dashboards and reporting).
- ETL & Transformation: Custom Python & SQL-based ETL pipelines in ClickHouse.
- DevOps & CI/CD: GitLab CI/CD (Automated deployments), Docker (Containerized services).
Conclusion
Market4U’s transition to a high-performance, real-time BI platform demonstrates the impact of a well-architected data solution. By using ClickHouse, Kafka, and Superset, they achieved smooth real-time analytics, improved query performance, and fully automated deployments. With Datum Labs’ expertise, Market4U now has a scalable and future-ready data infrastructure that empowers its teams with instant insights.
Is your business ready for a next-level data transformation? Let’s make it happen.
.svg)
%20(1).webp)
