Category: Amazon QuickSight

As of August 2023, Amazon QuickSight is now an AWS IAM Identity Center enabled application. This capability allows administrators who subscribe to QuickSight to use IAM Identity Center to enable their users to log in with Azure AD and other external identity providers. For more information, see Simplify business intelligence identity management with Amazon QuickSight and […]

In the world we live in today, companies need to quickly react to change—and to anticipate it. Customers tell us that their reliance on data has never been greater than what it is today. To improve your decision-making, you have two types of data transformation needs: data agility, the speed at which data turns into […]

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 […]

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’ […]

QuickSight folders provide a powerful way for admins and authors to organize, manage, and share content while being a powerful discovery mechanism for readers. Folders are now generally available in QuickSight Enterprise Edition in all supported QuickSight Regions.

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, […]

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.

Amazon QuickSight is a fast, cloud-powered, business intelligence service that makes it easy to deliver insights and integrates seamlessly with your data lake built on Amazon Simple Storage Service (Amazon S3). QuickSight users in your organization often need access to only a subset of columns for compliance and security reasons. Without having a proper solution […]

This post demonstrates how to extend the metadata contained in the Data Catalog with profiling information calculated with an Apache Spark application based on the Amazon Deequ library running on an EMR cluster. You can query the Data Catalog using the AWS CLI. You can also build a reporting system with Athena and Amazon QuickSight to query and visualize the data stored in Amazon S3.

The Amazon Redshift materialized views function helps you achieve significantly faster query performance on repeated or predictable workloads such as dashboard queries from Business Intelligence (BI) tools, such as Amazon QuickSight. It also speeds up and simplifies extract, load, and transform (ELT) data processing. You can use materialized views to store frequently used precomputations and […]