Bloomberg expands data accessible via Azure 21 April 2023US Reporter: Lucy Carter
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Bloomberg has expanded the services it offers via Microsoft Azure, with Bloomberg Enterprise Data’s data licence content now available through a private virtual network connection.
Data licence content includes reference, regulatory data and point in time historical data for quant and investment research workflows. This facilitates liquidity assessment and volatility analysis, the company says, with the service covering more than 50 million securities and 30,000 data fields.
Following the expansion, Bloomberg clients using Azure will be able to read data directly from Azure Blob Storage containers and automate workflows via data-ready alerts and Azure’s EventGrid service.
The update follows the connection of Bloomberg Enterprise Data’s real-time global market data feed, B-PIPE, to Azure in 2021. The service provides access to more than 50 million instruments, 330 exchanges and 80 billion ticks each day.
By offering these services via cloud, ownership costs are reduced and more nimble investment decisions can be made, Bloomberg says.
Tony McManus, global head of Bloomberg Enterprise Data, says: “Bloomberg was first to make our data offering accessible in the cloud in 2018 and we continue to provide our clients with the access and deep insight they need to make important investment decisions. This native connectivity with Azure further provides mutual clients with an enhanced and simplified data experience, and our managed service helps clients seamlessly transition workloads to the cloud.”?
Karen Del Vescovo, corporate vice president of financial services at Microsoft, adds: “The cloud represents a significant opportunity for today’s financial services institutions, as they look to scale their data in a secure and compliant way. We look forward to the enhanced value Bloomberg’s expanded data service on Azure will bring to our joint customers, helping quickly deliver deeper, more relevant insights for their clients, while managing risk effectively.”
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