Category: Customer Solutions

Stifel Financial Corp, a diversified financial services holding company is expanding its data landscape that requires an orchestration solution capable of managing increasingly complex data pipeline operations across multiple business domains. Traditional time-based scheduling systems fall short in addressing the dynamic interdependencies between data products, requires event-driven orchestration. Key challenges include coordinating cross-domain dependencies, maintaining data consistency across business units, meeting stringent SLAs, and scaling effectively as data volumes grow. Without a flexible orchestration solution, these issues can lead to delayed business operations and insights, increased operational overhead, and heightened compliance risks due to manual interventions and rigid scheduling mechanisms that cannot adapt to evolving business needs. In this post, we walk through how Stifel Financial Corp, in collaboration with AWS ProServe, has addressed these challenges by building a modular, event-driven orchestration solution using AWS native services that enables precise triggering of data pipelines based on dependency satisfaction, supporting near real-time responsiveness and cross-domain coordination.

At Twilio, we manage a 20 petabyte-scale Amazon S3 data lake that serves the analytics needs of over 1,500 users, processing 2.5 million queries monthly and scanning an average of 85 PB of data. To meet our growing demands for scalability, emerging technology support, and data mesh architecture adoption, we built Odin, a multi-engine query platform that provides an abstraction layer built on top of Presto Gateway. In this post, we discuss how we designed and built Odin, combining Amazon Athena with open-source Presto to create a flexible, scalable data querying solution.

In this post, we introduce Amazon DataZone and explore how Volkswagen used Amazon DataZone to build their data mesh, tackle the challenges encountered, and break the data silos.

At Vanguard, we faced significant challenges with our legacy mainframe system that limited our ability to deliver modern, personalized customer experiences. Our centralized database architecture created performance bottlenecks and made it difficult to scale services independently for our millions of personal and institutional investors. In this post, we show you how we modernized our data architecture using Amazon Redshift as our Operational Read-only Data Store (ORDS).

Trellix, a global leader in cybersecurity solutions, emerged in 2022 from the merger of McAfee Enterprise and FireEye. To address exponential log growth across their multi-tenant, multi-Region infrastructure, Trellix used Amazon OpenSearch Service, Amazon OpenSearch Ingestion, and Amazon S3 to modernize their log infrastructure. In this post, we share how, by adopting these AWS solutions, Trellix enhanced their system’s performance, availability, and scalability while reducing operational overhead.

This is a guest post by Thomas Cardenas, Staff Software Engineer at Ancestry, in partnership with AWS. Ancestry, the global leader in family history and consumer genomics, uses family trees, historical records, and DNA to help people on their journeys of personal discovery. Ancestry has the largest collection of family history records, consisting of 40 […]

AppZen is a leading provider of AI-driven finance automation solutions. The company’s core offering centers around an innovative AI platform designed for modern finance teams, featuring expense management, fraud detection, and autonomous accounts payable solutions. AppZen’s technology stack uses computer vision, deep learning, and natural language processing (NLP) to automate financial processes and ensure compliance. […]

In this post we explain how Zeta built a more unified monitoring solution using Amazon OpenSearch Service that improved performance, reduced manual processes, and increased end-user satisfaction. Zeta has achieved over an 80% reduction in mean time to resolution (MTTR), with incident response times decreasing from 30+ minutes to under 5 minutes.

ATPCO is the backbone of modern airline retailing, helping airlines and third-party channels deliver the right offers to customers at the right time. ATPCO addressed data governance challenges using Amazon DataZone. SageMaker Unified Studio, built on the same architecture as Amazon DataZone, offers additional capabilities, so users can complete various tasks such as building data pipelines using AWS Glue and Amazon EMR, or conducting analyses using Amazon Athena and Amazon Redshift query editor across diverse datasets, all within a single, unified environment. In this post, we walk you through the challenges ATPCO addresses for their business using SageMaker Unified Studio.

Revenue NSW, Australia’s principal revenue management agency, successfully modernized its analytics infrastructure using AWS services. In this blog post, we show how the organization transformed its on-premises data environment into a unified, scalable cloud-based solution using Amazon Redshift, AWS Database Migration Service, Amazon AppFlow, and AWS Glue.