Tag: Amazon Quicksight

Today, AWS is excited to announce the availability of fine-grained access control for AWS Identity and Access Management (IAM)-permissioned resources in Amazon QuickSight. Fine-grained access control allows Amazon QuickSight account administrators to control authors’ default access to connected AWS resources. Fine-grained access control enables administrators to use IAM policies to scope down access permissions, limiting specific authors’ access to specific items within the AWS resources. Administrators can now apply this new level of access control to Amazon S3, Amazon Athena, and Amazon RDS/Redshift database discovery.

Today, we are pleased to announce a set of updates to Amazon QuickSight: Richer dashboards with multiple sheets in your regular and embedded dashboards, multiple axis label orientation options for better readability of dashboards, more calculations such as standard deviation, variance and conditional string functions on SPICE, enhanced URL actions for supporting a broader set of interaction scenarios, and one-click duplication of visuals for faster authoring.

At re:Invent 2018, we announced the preview of ML Insights, a set of out-of-the-box machine learning and natural language features that provide Amazon QuickSight users with business insights beyond visualization. Today, we are announcing the general availability of ML Insights. As the volume of data that customers generate continues to grow every day, it’s becoming […]

Climate Change continues to have a profound effect on our quality of life. As a result, the investigation into sustainability is growing. Researchers in both the public and private sector are planning for the future by studying recorded climate history and using climate forecast models. To help explain these concepts, this post introduces the Global […]

In this post, we talk about designing a cloud-native data warehouse as a replacement for our legacy data warehouse built on a relational database. At the beginning of the design process, the simplest solution appeared to be a straightforward lift-and-shift migration from one relational database to another. However, we decided to step back and focus […]

May 2022: This post was reviewed for accuracy. Although structured data remains the backbone for many data platforms, increasingly unstructured or semi-structured data is used to enrich existing information or create new insights. Amazon Athena enables you to analyze a wide variety of data. This includes tabular data in CSV or Apache Parquet files, data […]

Starting today, you can embed Amazon QuickSight dashboards in your applications. This means you can now quickly and efficiently enhance your applications with advanced interactive data visualizations and analytics capabilities without any custom development.

Amazon QuickSight is a fast, cloud-powered BI service that makes it easy for everyone in an organization to get business insights from their data through rich, interactive dashboards. With pay-per-session pricing and embedded dashboard, we made BI even more cost-effective and accessible to everyone. However, as the volume of data that customers generate continues to […]

Amazon QuickSight added support for parameters, on-screen controls, and URL actions earlier this year. In this blog post, we walk through several examples to show how you can use these capabilities within interactive dashboards for your audience.

Whether you’ve just signed up for your first AWS account or you’ve been with us for some time, there’s always something new to learn as our services evolve to meet the ever-changing needs of our customers. To help ensure you’re set up for success as you build with AWS, we put together this quick reference guide for Big Data training and resources available here on the AWS site.