AWS Big Data Blog
Category: Customer Solutions
How Ancestry optimizes a 100-billion-row Iceberg table
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 […]
How AppZen enhances operational efficiency, scalability, and security with Amazon OpenSearch Serverless
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. […]
Zeta reduces banking incident response time by 80% with Amazon OpenSearch Service observability
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.
Guide to adopting Amazon SageMaker Unified Studio from ATPCO’s Journey
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 modernises analytics with AWS, enabling unified and scalable data management, processing, and access
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.
Realizing ocean data democratization: Furuno Electric’s initiatives using Amazon DataZone
In this post, we explore how Furuno Electric built a comprehensive data management foundation using Amazon DataZone and other AWS services to transform from a traditional manufacturing company to a data-driven business.
How Stifel built a modern data platform using AWS Glue and an event-driven domain architecture
In this post, we show you how Stifel implemented a modern data platform using AWS services and open data standards, building an event-driven architecture for domain data products while centralizing the metadata to facilitate discovery and sharing of data products.
Kaltura reduces observability operational costs by 60% with Amazon OpenSearch Service
In this post, we share how Kaltura transformed its observability strategy and technological stack by migrating from a software as a service (SaaS) logging solution to Amazon OpenSearch Service—achieving higher log retention, a 60% reduction in cost, and a centralized platform that empowers multiple teams with real-time insights.
How Skroutz handles real-time schema evolution in Amazon Redshift with Debezium
Skroutz chose Amazon Redshift to promote data democratization, empowering teams across the organization with seamless access to data, enabling faster insights and more informed decision-making. In this post, we share how we handled real-time schema evolution in Amazon Redshift with Debezium.
How Nexthink built real-time alerts with Amazon Managed Service for Apache Flink
In this post, we describe Nexthink’s journey as they implemented a new real-time alerting system using Amazon Managed Service for Apache Flink. We explore the architecture, the rationale behind key technology choices, and the Amazon Web Services (AWS) services that enabled a scalable and efficient solution.