AWS Architecture Blog

Category: Amazon Redshift

Figure 2. Multi-Region deployment optimized for network latency

What to Consider when Selecting a Region for your Workloads

The AWS Cloud is an ever-growing network of Regions and points of presence (PoP), with a global network infrastructure that connects them together. With such a vast selection of Regions, costs, and services available, it can be challenging for startups to select the optimal Region for a workload. This decision must be made carefully, as […]

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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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High-level design for an AWS lake house implementation

Benefits of Modernizing On-premises Analytics with an AWS Lake House

Organizational analytics systems have shifted from running in the background of IT systems to being critical to an organization’s health. Analytics systems help businesses make better decisions, but they tend to be complex and are often not agile enough to scale quickly. To help with this, customers upgrade their traditional on-premises online analytic processing (OLAP) […]

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Figure 5. The Full Architectural Diagram

Reduce Operational Load using AWS Managed Services for your Data Solutions

As the volume of customers’ data grows, companies are realizing the benefits that data has for their business. Amazon Web Services (AWS) offers many database and analytics services, which give companies the ability to build complex data management workloads. At the same time, these services can reduce the operational overhead compared to traditional operations. Using […]

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Maryville University

Architecting a Data Lake for Higher Education Student Analytics

One of the keys to identifying timely and impactful actions is having enough raw material to work with. However, this up-to-date information typically lives in the databases that sit behind several different applications. One of the first steps to finding data-driven insights is gathering that information into a single store that an analyst can use […]

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This is My Architecture: Halodoc

Halodoc: Building the Future of Tele-Health One Microservice at a Time

Halodoc, a Jakarta-based healthtech platform, uses tele-health and artificial intelligence to connect patients, doctors, and pharmacies. Join builder Adrian De Luca for this special edition of This is My Architecture as he dives deep into the solutions architecture of this Indonesian healthtech platform that provides healthcare services in one of the most challenging traffic environments […]

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Store, Protect, Optimize Your Healthcare Data with AWS: Part 2

Leveraging Analytics and Machine Learning Tools for Readmissions Prediction This blog post was co-authored by Ujjwal Ratan, a senior AI/ML solutions architect on the global life sciences team. In Part 1, we looked at various options to ingest and store sensitive healthcare data using AWS. The post described our shared responsibility model and provided a […]

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Store, Protect, Optimize Your Healthcare Data with AWS: Part 1

This blog post was co-authored by Ujjwal Ratan, a senior AI/ML solutions architect on the global life sciences team. Healthcare data is generated at an ever-increasing rate and is predicted to reach 35 zettabytes by 2020. Being able to cost-effectively and securely manage this data whether for patient care, research or legal reasons is increasingly […]

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