AWS Big Data Blog

Tag: Amazon Quicksight

Amazon Alexa Audio migrates business intelligence to Amazon QuickSight for faster performance

The Amazon Alexa Audio Data & Insights (AUDI) team strives to make business intelligence (BI) accessible for engineers across Amazon Alexa Audio. Amazon Alexa Audio helps you stay entertained with your favorite music, podcasts, books, and radio from providers such as Amazon Music, Spotify, and iHeart Radio. The AUDI team manages dashboards and reports to […]

Fulfillment by Amazon uses Amazon QuickSight Embedded to deliver key reporting insights to Amazon Marketplace sellers

Fulfillment by Amazon (FBA) was launched in 2006, allowing businesses to outsource shipping to Amazon. With this fulfillment option, Amazon stores, picks, packs, ships, and delivers the products to customer as well as handling the customer service and returns for those orders. Within Seller Central, a website where sellers can monitor their Amazon sales activity, […]

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Top Amazon QuickSight features launched in Q2 2022

Amazon QuickSight is a serverless, cloud-based business intelligence (BI) service that brings data insights to your teams and end-users through machine learning (ML)-powered dashboards and data visualizations, which can be accessed via QuickSight or embedded in apps and portals that your users access. This post shares the top QuickSight features and updates launched in Q2 […]

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Use Amazon Athena and Amazon QuickSight in a cross-account environment

This blog post was last reviewed and updated May, 2022 to include AWS Lake Formation resource sharing model. Many AWS customers use a multi-account strategy to host applications for different departments within the same company. However, you might deploy services like Amazon QuickSight using a single-account approach, which raises challenges when you need to use […]

How MEDHOST’s cardiac risk prediction successfully leveraged AWS analytic services

MEDHOST has been providing products and services to healthcare facilities of all types and sizes for over 35 years. Today, more than 1,000 healthcare facilities are partnering with MEDHOST and enhancing their patient care and operational excellence with its integrated clinical and financial EHR solutions. MEDHOST also offers a comprehensive Emergency Department Information System with […]

How Aruba Networks built a cost analysis solution using AWS Glue, Amazon Redshift, and Amazon QuickSight

February 2023 Update: Console access to the AWS Data Pipeline service will be removed on April 30, 2023. On this date, you will no longer be able to access AWS Data Pipeline though the console. You will continue to have access to AWS Data Pipeline through the command line interface and API. Please note that […]

Automate dataset monitoring in Amazon QuickSight

Amazon QuickSight is an analytics service that you can use to create datasets, perform one-time analyses, and build visualizations and dashboards. In an enterprise deployment of QuickSight, you can have multiple dashboards, and each dashboard can have multiple visualizations based on multiple datasets. This can quickly become a management overhead to view all the datasets’ […]

Embed multi-tenant analytics in applications with Amazon QuickSight

Amazon QuickSight recently introduced four new features—embedded authoring, namespaces for multi-tenancy, custom user permissions, and account-level customizations—that, with existing dashboard embedding and API capabilities available in the Enterprise Edition, allow you to integrate advanced dashboarding and analytics capabilities within SaaS applications. Developers and independent software vendors (ISVs) who build these applications can now offer embedded, […]

Enable fine-grained permissions for Amazon QuickSight authors in AWS Lake Formation

This post demonstrates how to extend the Lake Formation security model to QuickSight users and groups, which allows data lake administrators to manage data catalog resource permissions centrally from one console. As organizations embark on the journey to secure their data lakes with Lake Formation, having the ability to centrally manage fine-grained permissions for QuickSight authors can extend the data governance and enforcement of security controls at the data consumption (business intelligence) layer. You can enable these fine-grained permissions for QuickSight users and groups at the database, table, or column level, and they’re reflected in the Athena dataset in QuickSight.