AWS Partner Network (APN) Blog

Tag: Amazon S3

Computer Vision at Scale with Dask and PyTorch on Amazon EC2 Spot Instances

Saturn Cloud is a data science and machine learning platform for Python. Its multi-node, multi-GPU computing enables 100x faster workflows, reducing the time to business value. Saturn Cloud is compatible with the entire Python ecosystem and a variety of tools, which makes workflows customizable and the computing experience highly flexible for a range of setups and preferences. In a recent release, Saturn Cloud added Amazon EC2 Spot compatibility.

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Helping a Pharmaceutical Company Drive Business Insights Using ZS Accelerators on Amazon Redshift

With increasing data variety and volumes, it’s become increasingly necessary to ensure all of an organization’s workloads run in the most efficient manner to reduce overall turn-around time and TCO. Get an overview of the data and analytics platform ZS built to streamline and improve contracting analytics for a top life sciences company. Then, dive deep into the data architecture and learn how ZS evolved its data technology stack to get maximum performance.

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Building a Single Source of Truth with a Data Hub from Semarchy

Organizations need a comprehensive data management solution that includes data quality, cleansing, de-duplication, and curation capabilities. After consolidating trusted golden records, they need to enforce governance requirements and track changes over time. Semarchy’s xDM platform is an innovation in multi-vector Main Data Management (MDM) that leverages smart algorithms and material design to simplify data stewardship, governance, and integration.

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Tape Ark Unlocks Dark Data on AWS with Tape-to-Cloud Migration

Oil and gas operators face significant challenges accessing the subsurface data they have created and saved on tape media. Being able to perform tape migration at scale is highly complex and resource intensive, but it’s essential for oil and gas companies that want to understand their collection so they can unlock the true value of their data. Tape Ark is powered by AWS and uniquely capable of undertaking mass migrations at large scale.

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Design Considerations for Disaster Recovery with VMware Cloud on AWS

Customers who run VMware on-premises are incorporating VMware Cloud on AWS into their hybrid cloud strategy due to the immense benefits of using the AWS Global Infrastructure. As organizations plan hybrid cloud strategies, disaster recovery is a vital consideration to ensure business continuity in the event of a disaster. Learn about the architectural considerations and best practices for implementing disaster recovery using VMware Cloud on AWS.

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How Tech Mahindra Approaches Cost Optimization and Governance Using AWS Native Services

Cloud cost governance ensures customers are availing all potential services, tools, and resources to continuously track, optimize, and control their overall cloud spend. Learn how Tech Mahindra achieved one customer’s goal of cloud finance using cost management best practices along with AWS native tools and techniques. Tech Mahindra worked closely with the customer’s IT, engineering, and finance teams to understand their existing cloud governance model and issues.

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CoDetect: A Serverless AI-Powered Web App for Detecting Medical Conditions in CT Scans

DXC Technology created a serverless artificial intelligence-powered solution called CoDetect to help detect manifestations of COVID-19 (and other medical conditions) in CT scans. Learn about the AWS services DXC chose for this solution, and explore two functional use cases that demonstrate the benefits of DXC’s CoDetect design and implementation approach. CoDetect is a web-based app that allows end users to submit CT scan studies for an AI model analysis.

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Bursting Your On-Premises Data Lake Analytics and AI Workloads on AWS

Developing and maintaining an on-premises data lake is a complex undertaking. To maximize the value of data and use it as the basis for critical decisions, the data platform must be flexible and cost-effective. Learn how to build a hybrid data lake with Alluxio to leverage analytics and AI on AWS alongside a multi-petabyte on-premises data lake. Alluxio’s solution is called “zero-copy” hybrid cloud, indicating a cloud migration approach without first copying data to Amazon S3.

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Using Amazon AppFlow to Achieve Bi-Directional Sync Between Salesforce and Amazon RDS for PostgreSQL

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.

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Capturing and Visualizing Multi-Tenant Metrics Inside a SaaS Application on AWS

As a SaaS provider, it’s essential to have a clear picture of how tenants are exercising your system. Being able to model the functional and operational profile of tenants and tenant tiers is critical to evolving the business and technical strategies of a SaaS organization. Learn about the role metrics play within a SaaS-based application, and dive deep into a solution that provides all of the infrastructure that will support the ingestion, aggregation, and analysis of SaaS metric data.

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