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Bloomberg Escalates Collaboration to Extend Customer Access to Cloud Data

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Bloomberg continues to invest in the cloud and meet its mission of providing efficient access to data in the cloud through a collaboration with Databricks, a data and AI company, that allows mutual customers to access Bloomberg’s data offerings using Data License and its cloud-based data management solution Data License Plus (DL+).

Databricks, Google Cloud BigQuery, Snowflake

This is not a one-off arrangement, with Bloomberg recently releasing the integration of DL+ with Google Cloud’s BigQuery, and earlier this year a Bloomberg DL+ Snowflake Native App. To find out more about Bloomberg’s approach to cloud, Data Management Insight spoke to Don Huff, global head of client services at Bloomberg Data Management Services.

Huff says: “For the past couple of years, there has been a rush to cloud, but when you get there, there are still different platforms and different use cases. Databricks is used mostly for research and can analyse large amounts of data very well. Customers may also be using Snowflake or BigQuery in their workflows.”

DL+, a privately hosted, cloud-based data management solution, addresses these issues by aggregating, organising and linking licensed Bloomberg data from multiple delivery channels. It then delivers the data to applications and data warehouses in a consistent, transparent, and controlled model.

Unified Data Model

Huff says DL+ is a strategic initiative for Bloomberg and a solution that resonates with customers. Behind its success is the company’s underlying Unified Data Model, which has been developed by Blooomberg Data Management Services over some years and is based on an interoperable data mesh. Huff comments: “Our value proposition is the United Data Model. With DL+, we can do 80% of the data management customers want to do and take the pain out of their cloud journey.”

By acquiring then modeling data into inter-linked data tables, DL+ makes it easy to deliver the tables, which are ready-to-use, directly into a client’s Databricks architecture – the same goes for Google Cloud’s Big Query and Snowflake. Subsequent refreshes of the data will push updates to the Databricks workspace, along with revisions to the previous day. The key here is the modeling of the data that makes it ready-to-use, even if it comes from many different files or delivery channels.

Amazon Redshift

With Snowflake, BigQuery and Databricks integrations in place, Huff says Bloomberg is likely to partner next with the Amazon Redshift cloud data warehouse, although he notes the company will go where customers want to go. By way of example, he cites work with Cloudera that has attracted customers.

Huff concludes: “There will be further investment in DL+. Customers are doing great things with it, and Bloomberg will continue to add data content, destinations and lineage.”

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