DinoCloud’s Post

Capital One has been a disrupter in the financial services industry since 1994, using technology to transform banking and payments. As part of their digital transformation journey, Capital One adopted several purpose-built AWS databases to help manage data at a large scale and accelerate innovation. Lets explore more how AWS can help you do the same. 🚀

Curious as to how financial services organisations are meeting their data management needs? Here are some of the steps they’re taking: 🚀💻 Fast, convenient, and secure digital services have accelerated data and cloud initiatives for financial institutions. 🔒📈 Protecting sensitive financial data in a highly regulated ecosystem remains a top priority. ⚙️💸 A robust data engine can deliver banking and financial data efficiently, reliably, and cost-effectively. Faced with significant challenges with balancing licensing costs to ingest and long-term retention requirements for business application log and security log data within its existing SIEM architecture, Zurich Insurance built an architecture using Amazon Web Services (AWS) and Cribl Stream that addressed decoupling long-term storage of logs, distributing analytics and alerting capabilities, and optimising storage costs for log data. Learn how Cribl and AWS can keep your data secure and compliant while enhancing analytics cost-effectively:

Data security in financial services is fraught with risk, which is only made more complicated by hybrid architectures and the rapid adoption of #AI. Immuta's integration with Amazon Web Services (AWS) platforms including Amazon Redshift and Amazon S3 help financial services organizations overcome these obstacles with streamlined, scalable #datasecurity. Read how in our new data sheet: https://ow.ly/lRBe50R5Ryz AWS Partners

Very interesting insights from our Data Team! Alex Naumov shares fascinating perspectives on our journey towards a fully data-driven and agile organization using Redshift Serverless and other AWS technologies. Check out his blog post! 💡🚀 #AgileOrganization #RedshiftServerless #AWSTechnologies #Innovation #fintech #smava

smava is one of the leading financial services companies in Germany, making personal loans transparent, fair, and affordable for consumers. smava adopted an architecture that utilizes both provisioned and serverless #redshift data warehouses, together with the data sharing capability to isolate the workloads. By choosing the right architectural patterns for their needs, smava was able to accomplish the following: * Simplify the data pipelines and reduce operational overhead * Reduce the feature release time from days to minutes * Increase price-performance by reducing idle times and right-sizing the workload * Achieve up to three times faster report generation (faster calculations and higher parallelization) at 50% of the original setup costs * Increase agility of all departments and support data-driven decision-making by democratizing access to data * Increase the speed of innovation by exposing self-service data capabilities for teams across all departments and strengthening the A/B test capabilities to cover the complete customer journey Now, all departments at smava are using the available data products to make data-driven, accurate, and agile decisions. What a great story about optimization and getting more value from your data architecture.

Understand how DBS Bank, a leading financial service group in Singapore, used the @Amazon Web Services (AWS) to build a scalable serverless compute grid, which they then put to work to price exotic option trades. DBS Bank used a variety of AWS storage devices and a grid set up to run its trading software for the entire company. See how they use the AWS service along with dynamo DB and elastic search to run their scalable serverless compute grid. Contact Princeton IT Services, Inc today to find out more about what AWS can mean for you. Reach us today for special deals at Tech365.io by Princeton IT Services. [email protected] #PrincetonITServices #Tech365 #usa #canada #india

Discover how the London Stock Exchange Group (LSEG) utilizes chaos engineering on Amazon Web Services (AWS) to enhance the resilience and reliability of its systems. In a recent blog post, LSEG explains how they simulate real-world failures to proactively identify and address potential weaknesses in their infrastructure. By embracing chaos engineering principles, LSEG can improve its overall system resilience, ensuring that critical financial systems remain robust and reliable. Read the full blog post to learn more about LSEG's approach to chaos engineering and how it benefits their business. https://lnkd.in/gPHGd5Fa #aws #awscloud #awscommunitybuilders #rds Amazon Web Services (AWS) AWS User Group Bengaluru AWS User Group India

Always fascinating to see powerful customer success stories at scale. Faster and cheaper never go out of fashion particularly as customers strive to get further value out of their data. The following snippet from this online broker FXGT.com case study stands out for me. The company also uses Amazon Redshift to provide near real-time reports to employees and customers. For example, the marketing team can get reports on how many new clients were referred from a specific affiliate, and customers can see their account performance. “Amazon Redshift is very fast,” says Kapoulas. “We’ve sped up reporting to clients and to employees, and on Amazon Redshift, we don’t have to worry about the size of the data—which is growing bigger and bigger.” With these reports, FXGT.com directors and teams—including marketing, accounting, and media teams—can monitor operations and make quick, data-driven business decisions. #aws #analytics #redshift https://lnkd.in/gcEZx6Se

This Guidance demonstrates near real-time processing of account posting events for payment systems. Payment systems must persistently store and idempotently process all customer transactions and activities to maintain data integrity, requiring relational databases with transactional capabilities. These applications often use synchronous requests and must commit transactions to databases one by one rather than concurrently. This Guidance aims to create asynchronous, event-driven architectural patterns in a system that you can automatically deploy in your environment through infrastructure as code (IaC). #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless

This Guidance demonstrates near real-time processing of account posting events for payment systems. Payment systems must persistently store and idempotently process all customer transactions and activities to maintain data integrity, requiring relational databases with transactional capabilities. These applications often use synchronous requests and must commit transactions to databases one by one rather than concurrently. This Guidance aims to create asynchronous, event-driven architectural patterns in a system that you can automatically deploy in your environment through infrastructure as code (IaC). #AWS #AmazonWebServices #AWSBlogs #Cloud #CloudComputing #Serverless