Skip to content

Exploring the future of financial data architecture: AI-native financial data foundation, large-scale financial data processing, and financial AI safety & governance

Data Ninjago (Financial Data Architecture)

About

4

Linxiao Ma
November 12, 2017

Leave a comment Cancel reply

Follow Data Ninjago (Financial Data Architecture) on WordPress.com

Author

Categories

*AI-Native Financial Data Foundation (48)
*Deep Dive – Parquet for Spark (4)
*Deep Dive – Spark SQL Query Engine (20)
*Deep Dive – Spark Structured Streaming (8)
*Financial Ontology Modelling (9)
Analytics, BI & Reporting (44)
Data Platform & Lakehouse (28)
Data Quality / Governance (11)
Financial Markets & Quantitative Finance (44)
Machine Learning / Data Mining (15)
Streaming Data Processing (11)

Tags

AI-Native Arbitrage Binomial Model Black-Scholes Business Intelligence Canonical Data Model Credit Risk CVA Data Architecture Databricks Data Engineering Data Governance Data Pipeline Data Quality Derivatives DolphinDB ETL FICC Modelling Financial Modelling Financial Semantics Finsight Fixed Income FX Greeks Interest Rates Internals ISDA CDM Lakehouse Machine Learning Market Data Metadata Modelling Monte Carlo Ontology Options Parquet Performance Attribution Pricing QuantFlow Quantitative Finance QuantLib Query Engine Real-Time Analytics Risk Management Semantic Query Spark Stream Processing Swaps Time-Series Valuation VaR Volatility Yield Curve

Latest Blogs

Financial Ontology Modelling for Everyone (9): How Much Meaning Should We Model?
Financial Ontology Modelling for Everyone (8): Difference ≠ Type
Financial Ontology Modelling for Everyone (7): What Are We Actually Modelling?
Financial Ontology Modelling for Everyone (6): What Kinds of Financial Meaning Do We Need to Model?
Financial Ontology Modelling for Everyone (5): Finance Is Hard. Ontology Should Not Be.
Financial Ontology Modelling for Everyone (4): The End of the Technology-Only Financial Technologist
Financial Ontology Modelling for Everyone (3): AI Makes Shared Meaning Everyone’s Problem
Financial Ontology Modelling for Everyone (2): Your Organisation Knows More Than Its AI Does
Financial Ontology Modelling for Everyone (1): Your AI May Know Finance Better Than You Think — and Still Be Useless
AI-Native Financial Data Foundation (44): Mention Extraction, Context Interpretation, and Expected Entity Types

Website Powered by WordPress.com.

Comment
Subscribe Subscribed

Data Ninjago (Financial Data Architecture)

Join 33 other subscribers

Have a WordPress.com account? Log in now.
Data Ninjago (Financial Data Architecture)
Copy shortlink View post in Reader
Manage subscriptions Sign up Log in
Report this content
Collapse this bar