Impact
Tactable developed the foundational ingestion framework that moves source-system data into a leading Canadian bank’s enterprise data platform for liquidity-risk reporting and downstream consumption, establishing standardized patterns for event-driven ingestion and large-scale data processing.
Industry
Financial Services | Capital Markets | Risk
Key Services
Key Technology
- Kafka | Spark
- Apache Iceberg
- HDFS
- Dremio
The Vision
Creating Reliable Data Pipelines for Enterprise Liquidity Risk
Liquidity risk reporting depends on consistent movement of information from multiple upstream systems into the client’s analytical environment. Tactable was engaged to establish the ingestion patterns and processing framework required to make that data reliably available for reporting and downstream applications.
The Solution
Building Event-Driven Liquidity Risk Data Pipelines
Streaming data ingestion
Developed working ingestion patterns that consume source-system events through Kafka.
Schema-driven processing
Compiled and applied Proto schemas to standardize incoming payloads.
Scalable data transformation
Converted source payloads into Spark and Iceberg structures suitable for enterprise processing and analytics.
Enterprise data access
Landed processed data into HDFS and made it available through Dremio for downstream reporting and consumption.
The Tactable approach
