AWS Architecture Blog

Category: Amazon QuickSight

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 2. Control plane architecture

How Ribbon Built a Scalable, Resilient Robocall Mitigation Platform

Ribbon provides communications software, and IP and optical networking end-to-end solutions that deliver innovation, unparalleled scale, performance, and agility to service providers and enterprise. Ribbon is helping customers modernize their networks. In today’s data-hungry, 24/7 world, this equates to improved competitive positioning and business outcomes. Companies are migrating from on-premises equipment for telephony services and looking […]

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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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Figure 2. Containerized application for ingestion and Amazon Kinesis for format conversion

Designing a High-volume Streaming Data Ingestion Platform Natively on AWS

The total global data storage is projected to exceed 200 zettabytes by 2025. This exponential growth of data demands increased vigilance against cybercrimes. Emerging cybersecurity trends include increasing service attacks, ransomware, and critical infrastructure threats. Businesses are changing how they approach cybersecurity and are looking for new ways to tackle these threats. In the past, […]

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Field Notes: Tracking Overall Equipment Effectiveness with AWS IoT Analytics and Amazon QuickSight

This post was co-authored with Michael Brown, Senior Solutions Architect, Manufacturing at AWS. Overall equipment effectiveness (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run. Measuring OEE provides a way to obtain actionable insights […]

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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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Field Notes: Creating Custom Analytics Dashboards with FireEye Helix and Amazon QuickSight

FireEye Helix is a security operations platform that allows organizations to take control of any incident from detection to response. FireEye Helix detects security incidents by correlating logs and configuration settings from sources like VPC Flow Logs, AWS CloudTrail, and Security groups. In this blog post, we will discuss an architecture that allows you to […]

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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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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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Figure 2. A serverless architecture representing data workflow

Building a Showback Dashboard for Cost Visibility with Serverless Architectures

Enterprises with centralized IT organizations and multiple lines of businesses frequently use showback or chargeback mechanisms to hold their departments accountable for their technology usage and costs. Chargeback involves actually billing a department for the cost of their division’s usage. Showback focuses on visibility to make the department more cost conscientious and encourage operational efficiency. […]

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