Webinars

Building a Historical Financial Data Lake at Bloomberg

Bloomberg’s Enterprise Data business has accumulated petabytes of historical financial data by taking point-in-time “snapshots” of financial entities and their attributes over four decades. Historical financial data is critical in backtesting models, evaluating risk, regulatory reporting, evaluating data quality, and more. Our Enterprise Data Lake engineering group ingested all historical text files (plus the ongoing snapshots that continue flowing in) into Apache Iceberg tables. This talk will include an overview of the challenges our organization needed to address, the open source architecture/tools we chose (Iceberg, Trino, etc.), and the impact this initiative has had on our business.

Download PDF

Ready to Get Started? Here Are Some Resources to Help

Whitepaper Thumb

Whitepaper

Simplifying Data Mesh for Self-Service Analytics on an Open Data Lakehouse

read more
Whitepaper Thumb

Whitepaper

Dremio Upgrade Testing Framework

read more
Whitepaper Thumb

Whitepaper

Operating Dremio Cloud Runbook

read more
get started

Get Started Free

No time limit - totally free - just the way you like it.

Sign Up Now
demo on demand

See Dremio in Action

Not ready to get started today? See the platform in action.

Watch Demo
talk expert

Talk to an Expert

Not sure where to start? Get your questions answered fast.

Contact Us

Ready to Get Started?

Bring your users closer to the data with organization-wide self-service analytics and lakehouse flexibility, scalability, and performance at a fraction of the cost. Run Dremio anywhere with self-managed software or Dremio Cloud.