Category: Amazon Athena

Modernizing legacy financial systems for regulatory compliance requires careful architectural planning and proven cloud solutions. This post shows you how Angel One transformed a fragile, stored-procedure-driven back office into a cloud-native, auditable system on AWS. You’ll learn the architecture, challenges, and results of building a post-trade reporting platform that processes 30 million records daily while […]

The BMW Group, headquartered in Munich, Germany, employs 159,000 people across more than 30 production and assembly facilities in 15 countries. As an automotive innovation leader, BMW Group has been working to stay at the forefront of digital transformation by using data and artificial intelligence (AI). In 2020, BMW Group launched the Cloud Data Hub […]

re:Invent 2025 addressed a wide range of financial services challenges, from mission-critical infrastructure to customer experience transformation. Agentic AI took center stage with over 30 dedicated sessions, reflecting the industry’s adoption of AI agents in production environments. From Matt Garman’s (CEO, AWS) keynote featuring Nasdaq, Visa, and National Australia Bank (NAB’s) work with Amazon Bedrock […]

As the energy landscape evolves toward a more distributed model, distributed energy resources (DERs) bring not only challenges, but also opportunities to different players in the energy market (utilities, legislators, aggregators, consumers, and service providers). We have planned a series of blogs discussing how different stakeholders can use Amazon Web Services (AWS) to make the […]

Introduction Embarking on digital transformation initiatives often requires decommissioning legacy systems, exacerbating the complexity of preserving and accessing crucial data. Failing to address this issue effectively leads to data loss, operational inefficiencies, and potential regulatory violations, which can result in substantial fines and reputational damage. Financial institutions must retain vast amounts of historical data, like […]

Introduction Data mesh emerges as a transformative architectural paradigm that revolutionizes how organizations manage and share data across domains. By treating data as a product and decentralizing ownership to domain teams, data mesh enables scalable, secure, and efficient data sharing while preserving domain autonomy. This blog is intended for data architects and technical leaders who […]

Enterprises often struggle with fragmented and inconsistent consumer data spread across multiple applications. This can create challenges in achieving trusted, unified views of your customers that power important functions, such as compliance reporting, analytics, and consumer engagement. Amazon Web Services (AWS) Entity Resolution helps companies quickly match, link, and enhance related customer records so organizations […]

As automated driving platforms evolve, they continue to generate unprecedented volumes of data from various sensors, simulations, and testing environments. A single automated driving test vehicle can produce tens of terabytes of data daily, which means that organizations managing entire fleets require petabyte-scale storage. The rapid growth in data, combined with the need to retain […]

In an era where data drives financial innovation, BBVA, a global financial institution serving over 76 million customers across 25+ countries, partnered with AWS to revolutionize its data analytics capabilities. BBVA embarked on an ambitious three-year journey to transform its entire data analytics infrastructure. The Analytics, Data, AI (ADA) Global Data platform represents one of […]

This is the third post of a six-part series detailing how BBVA migrated its Analytics, Data, AI (ADA) platform to AWS. We’re sharing how BBVA partnered with AWS to onboard over 6,500 advanced users (including data scientists and data engineers) to a new machine learning platform based on Amazon SageMaker AI. Read the entire series: Part […]