Anatomy of a Modern Portfolio Analytics & Risk Platform
Visualizing the high-speed data architecture that powers real-time investment decisions, from raw market signals to actionable intelligence.
Market Events Processed per Second
Latency for Real-time Valuations
Auditable & Compliant Data Lineage
Dual-Channel Data Ingestion
The platform's foundation is its ability to reliably ingest two distinct types of data simultaneously, each handled by specialized GCP services for optimal performance.
Real-time Market Data
High-Frequency Stream
Continuous streams from exchanges and APIs, including stock prices, FX rates, and market news. Ingested via GCP Pub/Sub to handle massive volume with low latency and high reliability.
Batch Client Holdings
Scheduled Loads
Periodic updates of client portfolios, positions, and internal reference data. Securely staged in Google Cloud Storage for efficient batch processing and integration.
The Lakehouse Core: Automated & Reliable Processing
At the heart of the platform, Databricks Delta Live Tables (DLT) automate the transformation of raw data into analysis-ready assets within a unified, governed Delta Lake.
Delta Live Tables Pipeline
Raw, immutable data from all sources is ingested.
Data is cleaned, filtered, and enriched for quality.
Business-ready aggregates, valuations, and risk metrics are created.
Data Lake Composition
The Gold layer, though smallest in volume, is the most valuable, directly powering analytics. The Bronze layer serves as a crucial, auditable backup of all raw data.
Key DLT Features
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Declarative ETL
Define pipeline outcomes, not complex implementation steps.
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Automated Data Quality
Enforce data integrity with built-in rules and expectations.
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Full Data Lineage
Automatically track data flow for governance and compliance.
Analytics & Consumption Ecosystem
The refined "Gold" data from the Lakehouse feeds a diverse ecosystem of tools and applications, empowering different teams to extract value.
Data Access by Persona
Different roles have varying needs for data access, from real-time queries for traders to deep historical analysis for regulators.
BigQuery
For deep analytics, ad-hoc queries, and large-scale regulatory reporting.
Vertex AI
For training and deploying advanced ML models for market prediction and risk.
BI Tools & Custom Apps
Powering real-time trading dashboards, risk alerts, and management reports.