AWS Partner Network (APN) Blog

Tag: Amazon Athena

How to Turn Archive Data into Actionable Insights with Cohesity and AWS

A big challenge for enterprises is how to manage the growth of data in a cost-effective manner. CIOs are also looking for ways to get insights out of the data so their organizations can create actionable outcomes. Learn how the CloudArchive Direct feature of Cohesity’s DataPlatform with AWS analytics services to drive insights into customers’ NAS data. Cohesity is redefining data management to lower TCO while simplifying the way businesses manage and protect their data.

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Implementing SAML AuthN for Amazon EMR Using Okta and Column-Level AuthZ with AWS Lake Formation

As organizations continue to build data lakes on AWS and adopt Amazon EMR, especially when consuming data at enterprise scale, it’s critical to govern your data lakes by establishing federated access and having fine-grained controls to access your data. Learn how to implement SAML-based authentication (AuthN) using Okta for Amazon EMR, querying data using Zeppelin notebooks, and applying column-level authorization (AuthZ) using AWS Lake Formation.

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Quickly Build End-to-End Integrations to SaaS Partner Event Sources and AWS Services with Amazon EventBridge

AWS introduced Amazon EventBridge partner event source integrations to showcase reference architectures and end-to-end use cases that help you get started quickly with integrating SaaS partners in your own applications. Fully open source, these solutions include code and AWS Serverless Application Model (SAM) templates that can be customized and extended to fit your application’s needs. The reference architectures include AWS Quick Starts and GitHub code to ease integration.

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Helping Healthcare Agencies Without Data Science Skills Get More from Patient Data

Infosys Public Services and AWS have collaborated to develop Infosys Health Insights Platform, an advanced data science platform that helps government healthcare agencies turn multi-source, multi-format data into insights and actions. Its goal is to deliver proactive and targeted interventions to the right people at the right time. This can improve care experience and outcomes across areas like population health management, epidemic management, behavioral health, and substance abuse.

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How KPMG Visualizes Cloud Billing Data with Amazon QuickSight

KPMG uses Amazon QuickSight as a business intelligence tool to visualize the billing data in AWS Cost and Usage Reports. The machine learning insights in Amazon QuickSight shed light on where and why KPMG was spending money in the cloud. A tool like Amazon QuickSight, which is simple to use, cost effective, and flexible, gives KPMG valuable insights into AWS spend, and lets the organization create a plan of automated responses to cost- or usage-related events.

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How Kloia Helped GoDataFeed Modernize Monolithic .NET Applications with AWS Serverless

Many enterprises have .NET Framework legacy applications they need modernize and convert to cloud-native. One of the largest product feed automation and optimization platforms, GoDataFeed has a back-end platform that ingests millions of items of catalog data from multiple sources. Learn how Kloia addressed GoDataFeed’s challenges by transforming their legacy .NET Framework monolithic application into a .NET Core-based decoupled architecture.

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Optimizing Supply Chains Through Intelligent Revenue and Supply Chain (IRAS) Management

Fragmented supply-chain management systems can impair an enterprise’s ability to make informed, timely decisions. Accenture’s Intelligent Revenue and Supply Chain (IRAS) platform integrates insights generated by machine learning models into an enterprise’s technical and business ecosystems. This post explains how Accenture’s IRAS solution is architected, how it can coexist with other ML forecasting models or statistical packages, and how you can consume its insights in an integrated way.

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Analyzing COVID-19 Data with AWS Data Exchange, Amazon Redshift, and Tableau 

To help everyone visualize COVID-19 data confidently and responsibly, we brought together APN Partners Salesforce, Tableau, and MuleSoft to create a centralized repository of trusted data from open source COVID-19 data providers. Anyone can work with the public data, blend it with their own data, or subscribe to the source datasets directly through AWS Data Exchange, and then use Amazon Redshift together with Tableau to better understand the impact on their organization.

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Cloud Anything-9

Architecting Successful SaaS: Interacting with Your SaaS Customer’s Cloud Accounts

Explore several common AWS services and architectural patterns used by SaaS vendors to interact with their customers’ cloud accounts. Examples of SaaS products requiring some level of account interaction often fall into the categories of logging and monitoring, security, compliance, data analytics, DevOps, workflow management, and resource optimization. SaaS products, such as the ones in these categories, regularly interact with resources in the subscribing customer’s AWS account.

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Reducing the Cost of Managing Multiple AWS Accounts Using AWS Control Tower

As larger and more complex workloads are deployed on AWS, multi-account solutions are an increasingly common architectural blueprint. Often referred to as cloud “landing zones,” these blueprints enable simple administrative boundaries. However, using multiple accounts increases the complexity of security tooling, access control and authorization, and cross-account networking. AWS Control Tower simplifies the process of setting up multi-account environments with predefined security baseline templates.

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