In this blog, guest author Nikhil shares his thoughts on the importance of data security for the financial industry and discusses how cloud computing can help.
In this article, we discuss how you can store and analyze financial data using PostgreSQL and why integrating RDS for PostgreSQL with OSS is beneficial.
In this article, the author discusses how PostgreSQL helps achieve various requirements in the financial sector, including high availability and disaster recovery.
This article discusses the design of a PostgreSQL business database to assess the risks involved in small loans and angel investments using graph search and mapping analysis.
This blog explores how CITIC Securities is able to incorporate real-time Nasdaq quotations using Alibaba Cloud CloudQuotation.
This article discusses the importance of China’s financial industry and how Apache Flink can use data mining to develop the financial industry.
This article discusses the challenges of today's finance industry and explores the solutions Realtime Compute for Apache Flink offers.
This article discusses "Hybrid Backup Recovery" and its benefits for financial customers.
In this case study, we'll share the story behind the success of one of our fintech clients based in ASEAN, who leveraged our services in their production environment.
Data is the lifeblood of the financial industry. 91% of financial companies worldwide think they have data security risks.