AWS Architecture Blog

Category: Amazon Athena

Basic architecture on how data drift is detected using Amazon SageMaker

Detecting data drift using Amazon SageMaker

As companies continue to embrace the cloud and digital transformation, they use historical data in order to identify trends and insights. This data is foundational to power tools, such as data analytics and machine learning (ML), in order to achieve high quality results. This is a time where major disruptions are not only lasting longer, […]

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Figure 1. 32guards threat reports architecture

How Net at Work built an email threat report system on AWS

Emails are often used as an entry point for malicious software like trojan horses, rootkits, or encryption-based ransomware. The NoSpamProxy offering developed by Net at Work tackles this threat, providing secure and confidential email communication. A subservice of NoSpamProxy called 32guards is responsible for threat reports of inbound and outbound emails. With the increasing number […]

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Zendesk data pipelines

Insights for CTOs: Part 3 – Growing your business with modern data capabilities

This post was co-wrtiten with Jonathan Hwang, head of Foundation Data Analytics at Zendesk. In my role as a Senior Solutions Architect, I have spoken to chief technology officers (CTOs) and executive leadership of large enterprises like big banks, software as a service (SaaS) businesses, mid-sized enterprises, and startups. In this 6-part series, I share […]

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Mainframe data integration conceptual flow

Mainframe data integration: Using mainframe data to build cloud native services with AWS

For International Women’s Day and Women’s History Month, we’re featuring more than a week’s worth of posts that highlight female builders and leaders. We’re showcasing women in the industry who are building, creating, and, above all, inspiring, empowering, and encouraging everyone—especially women and girls—in tech. Many companies in the financial services and insurance industries rely […]

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Figure 2- Spoke and hub architecture

Field Notes: Analyze Cross-Account AWS KMS Call Usage with AWS CloudTrail and Amazon Athena

Businesses are expanding their footprint on Amazon Web Services (AWS) and are adopting a multi-account strategy to help isolate and manage business applications and data. In the multi-account strategy, it is common to have business applications deployed in one account accessing an Amazon Simple Storage Service (Amazon S3) encrypted bucket from another AWS account. When […]

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Figure 1. Audit Surveillance data lake architecture diagram

How Parametric Built Audit Surveillance using AWS Data Lake Architecture

Parametric Portfolio Associates (Parametric), a wholly owned subsidiary of Morgan Stanley, is a registered investment adviser. Parametric provides investment advisory services to individual and institutional investors around the world. Parametric manages over 100,000 client portfolios with assets under management exceeding $400B (as of 9/30/21). As a registered investment adviser, Parametric is subject to numerous regulatory […]

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Serverless S3 metadata search

Swiftly Search Metadata with an Amazon S3 Serverless Architecture

As you increase the number of objects in Amazon Simple Storage Service (Amazon S3), you’ll need the ability to search through them and quickly find the information you need. In this blog post, we offer you a cost-effective solution that uses a serverless architecture to search through your metadata. Using a serverless architecture helps you […]

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Figure 2. Architecture to view Security Hub findings using AWS serverless analytics services

Visualize AWS Security Hub Findings using Analytics and Business Intelligence Tools

September 8, 2021: Amazon Elasticsearch Service has been renamed to Amazon OpenSearch Service. See details. To improve the security posture in your organization, you first must have a comprehensive view of your security, operations, and compliance data. AWS Security Hub gives you a thorough view of your security alerts and security posture across all your […]

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Figure 2. Building Lake House architectures with AWS Glue

How to Accelerate Building a Lake House Architecture with AWS Glue

Customers are building databases, data warehouses, and data lake solutions in isolation from each other, each having its own separate data ingestion, storage, management, and governance layers. Often these disjointed efforts to build separate data stores end up creating data silos, data integration complexities, excessive data movement, and data consistency issues. These issues are preventing […]

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Figure 1. Notional architecture for improving forecasting accuracy solution and SAP integration

Improving Retail Forecast Accuracy with Machine Learning

The global retail market continues to grow larger and the influx of consumer data increases daily. The rise in volume, variety, and velocity of data poses challenges with demand forecasting and inventory planning. Outdated systems generate inaccurate demand forecasts. This results in multiple challenges for retailers. They are faced with over-stocking and lost sales, and […]

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