Category: Analytics

This post was co-written with Shyam Narayan, a leader in the Accenture AWS Business Group, and Hui Yee Leong, a DevOps and platform engineer, both based in Australia. Hui and Shyam specialize in designing and implementing complex AWS transformation programs across a wide range of industries. Enterprises that operate out of multiple locations such as […]

2023 was a rollercoaster year in tech, and we at the AWS Architecture Blog feel so fortunate to have shared in the excitement. As we move into 2024 and all of the new technologies we could see, we want to take a moment to highlight the brightest stars from 2023. As always, thanks to our […]

Harnessing the potential of streaming data processing offers the opportunity to stay at the forefront of industries, make data-informed decisions with agility, and gain invaluable insights into customer behavior and operational efficiency.

Data lakes and lake house architectures have become an integral part of a data platform for any organization. However, you may face multiple challenges while developing a lake house platform and integrating with various source systems. In this blog, we will address these challenges and show how our framework can help mitigate these issues. Lake […]

Leveraging vast unstructured data poses challenges, particularly for global businesses needing cross-language data search. In Part 1 of this blog series, we built the architectural foundation for the content repository. The key component of Part 1 was the dynamic access control-based logic with a web UI to upload documents. In Part 2, we extend the […]

Event-driven architectures (EDA) are made up of components that detect business actions and changes in state, and encode this information in event notifications. Event-driven patterns are becoming more widespread in modern architectures because: they are the main invocation mechanism in serverless patterns. they are the preferred pattern for decoupling microservices, where asynchronous communications and event […]

Financial trading houses and stock exchanges generate enormous volumes of data in near real-time, making it difficult to perform bi-temporal calculations that yield accurate results. Achieving this requires a processing architecture that can handle large volumes of data during peak bursts, meet strict latency requirements, and scale according to incoming volumes. In this post, we’ll […]

For regulatory reasons, decommissioning core business systems in financial services and insurance (FSI) markets requires data to remain accessible years after the application is retired. Traditionally, FSI companies either outsourced data archiving to third-party service providers, which maintained application replicas, or purchased vendor software to query and visualize archival data. In this blog post, we […]

We brought you a Let’s Architect! blog post about open-source on AWS that covered some technologies with development led by AWS/Amazon, as well as well-known solutions available on managed AWS services. Today, we’re following the same approach to share more insights about the process itself for developing open-source. That’s why the first topic we discuss […]

Scope 3 emissions are indirect greenhouse gas emissions that are a result of a company’s activities, but occur outside the company’s direct control or ownership. Measuring these emissions requires collecting data from a wide range of external sources, like raw material suppliers, transportation providers, and other third parties. One of the main challenges with Scope […]