AWS Architecture Blog

Category: Amazon Athena

How to redact confidential information in your ML pipeline

Integrating Redaction of FinServ Data into a Machine Learning Pipeline

Financial companies process hundreds of thousands of documents every day. These include loan and mortgage statements that contain large amounts of confidential customer information. Data privacy requires that sensitive data be redacted to protect the customer and the institution. Redacting digital and physical documents is time-consuming and labor-intensive. The accidental or inadvertent release of personal information […]

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Figure 2. Fraud detection using machine learning architecture on AWS

Analyze Fraud Transactions using Amazon Fraud Detector and Amazon Athena

Organizations with online businesses have to be on guard constantly for fraudulent activity, such as fake accounts or payments made with stolen credit cards. One way they try to identify fraudsters is by using fraud detection applications. Some of these applications use machine learning (ML). A common challenge with ML is the need for a […]

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Fitness functions provide feedback to engineers via metrics

Using Cloud Fitness Functions to Drive Evolutionary Architecture

“It is not the strongest of the species that survives, nor the most intelligent. It is the one that is most adaptable to change.” – often attributed to Charles Darwin One common strategy for businesses that operate in dynamic market conditions (and thus need to continuously correct their course) is to aim for smaller, independent […]

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Figure 1. Architecture diagram depicting enterprise vertical integration with Amazon EventBridge

Vertical Integration Strategy Powered by Amazon EventBridge

Over the past few years, midsize and large enterprises have adopted vertical integration as part of their strategy to optimize operations and profitability. Vertical integration consists of separating different stages of the production line from other related departments, such as marketing and logistics. Enterprises implement such strategy to gain full control of their value chain: from the […]

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Figure 2. Lake House architecture on AWS

Architecting Persona-centric Data Platform with On-premises Data Sources

Many organizations are moving their data from silos and aggregating it in one location. Collecting this data in a data lake enables you to perform analytics and machine learning on that data. You can store your data in purpose-built data stores, like a data warehouse, to get quick results for complex queries on structured data. […]

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Data ingestion options from on-premises devices to AWS

Enhancing Existing Building Systems with AWS IoT Services

With the introduction of cloud technology and by extension the rapid emergence of Internet of Things (IoT), the barrier to entry for creating smart building solutions has never been lower. These solutions offer commercial real estate customers potential cost savings and the ability to enhance their tenants’ experience. You can differentiate your business from competitors […]

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Figure 1. Example architecture using AWS Managed Services

Building a Cloud-based OLAP Cube and ETL Architecture with AWS Managed Services

For decades, enterprises used online analytical processing (OLAP) workloads to answer complex questions about their business by filtering and aggregating their data. These complex queries were compute and memory-intensive. This required teams to build and maintain complex extract, transform, and load (ETL) pipelines to model and organize data, oftentimes with commercial-grade analytics tools. In this […]

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Interior of KFC restaurant

The Technology Behind KFC’s Finger Lickin’ Good Success

This post was written by Jaime Hall of KFC At Kentucky Fried Chicken (KFC), our platform has constantly evolved over the past four years. Since the shift to bring all development in house, we’ve been making great progress. During this time, KFC has grown dramatically within the digital space. Underpinning it all, we aim to […]

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AI-powered Passenger Callback System for Airlines

NLX is Helping Travelers Amid Disruption with AI-Powered Automation

This post was co-written by Andrei Papancea and Vlad Papancea of NLX and Sekhar Mallipeddi Travel impacts brought by the global pandemic left several airlines experiencing frequent flight disruptions, which increased flight scheduling change notifications being made to affected travelers. Every month, tens of thousands of passengers and related flight crew have to be contacted […]

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Figure 1. Current Architecture with improved resiliency and standardized observability

Journey to Adopt Cloud-Native Architecture Series: #3 – Improved Resilience and Standardized Observability

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. In the last blog, Maximizing System Throughput, we talked about design patterns you can adopt to address immediate scaling challenges to provide a better customer experience. In this blog, we talk about architecture patterns to improve system resiliency, why observability […]

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