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Showing results for tags 'quicksight'.
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Today, Amazon QuickSight is announcing the general availability of a native Trino connector that will enable customers to connect to Trino directly from Amazon QuickSight. This launch provides both console and full API support to create, update, edit and delete data sources. View the full article -
Today, Amazon QuickSight is announcing the general availability of a native Starburst connector that will enable customers to connect to Starburst directly from Amazon QuickSight. The native Starburst data connector supports connectivity to Starburst Enterprise for on-premises instances and Starburst Galaxy for managed instances. View the full article
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Amazon QuickSight now supports total positioning option for both rows and columns in pivot tables, providing authors added flexibility to style and present tabular data according to their specific use cases and individual needs. Additionally, it makes it easier to compare and view totals which could otherwise be multiple scrolls or pages away. View the full article
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Amazon QuickSight now supports connection to Redshift data with an IAM role. By connecting to data in QuickSight with an IAM role, administrators can enhance data security by using fine-grained IAM access policies for Redshift data sources. View the full article
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Amazon QuickSight now supports predictive analytics using machine learning (ML) models created in Amazon SageMaker Canvas, without writing a single line of code. QuickSight authors can now export data to SageMaker Canvas, build ML models, and share them back to QuickSight for consumption. This allows you to build predictive dashboards for better insights. With this new capability, you can evolve your analytics from descriptive to predictive capabilities, enabling the entire organization with a forward-looking view of the business. View the full article
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AWS Fargate is a serverless compute engine for running Amazon Elastic Kubernetes Service (Amazon EKS) and Amazon Elastic Container Service (Amazon ECS) workloads without managing the underlying infrastructure. AWS Fargate makes it easy to provision and scale secure, isolated, and right-sized compute capacity for containerized applications. As a result, teams are increasingly choosing AWS Fargate to run workloads in a Kubernetes clusters. It is a common practice for multiple teams to share a single Kubernetes cluster. In such cases, cluster administrators often have the need to allocate cost based on a team’s resource usage. Amazon EKS customers can deploy the Amazon EKS optimized bundle of Kubecost for cluster cost visibility when using Amazon EC2. However, in this post, we show you how to analyze costs of running workloads on EKS Fargate using the data in the AWS Cost and Usage Report (CUR). Using Amazon QuickSight, you can visualize your AWS Fargate spend and allocate cost by cluster, namespace, and deployment... View the full article
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Amazon QuickSight customers now have three new Generative business intelligence (BI) capabilities available in preview. First, business analysts using QuickSight can now build visualizations by specifying what they want to see in natural language. For example, “Show me count of orders in 2023 by city as a map” will instantly render a geographic map visualization automatically configured with count of “orders” filtered by 2023. Second, business analysts can build complex calculations in seconds by specifying the expected outcome in natural language, without searching for or experimenting with advanced calculation syntax. Lastly, visualizations on dashboards can be refined and tweaked using natural language prompts, removing hours of tedious point-and-click operations traditionally associated with BI tools. View the full article
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Amazon QuickSight now supports Bookmarks in dashboards. Bookmarks allow QuickSight readers to save customized dashboard preferences into a list of Bookmarks for easy one-click access to specific views of the dashboard without having to manually make multiple filter and parameter changes every time. Combined with QuickSight’s “Share this view” functionality, readers can also now share their Bookmark views with other readers for easy collaboration and discussion. Bookmarks are available to all users of the QuickSight console interface. For further details, visit here. View the full article
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Effective July 31, 2022, Amazon QuickSight is ending support for IE11. After that date, we can no longer guarantee that the features and webpages of Amazon QuickSight will function properly on IE 11. We recommend customers use one of our supported browsers: Microsoft Edge (Chromium), Google Chrome, or Mozilla Firefox. View the full article
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Amazon QuickSight now supports APIs for QuickSight account creation. Administrators and developers can automate deployment of QuickSight accounts in their organization at scale. You can now programmatically create accounts with QuickSight Enterprise and Enterprise + Q editions. For more information, visit here. View the full article
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QuickSight Authors can now try, learn and experience Q before signing up. Authors can choose from six different sample topics to explore relevant dashboard visualizations and ask questions about data in the context of exploration to fully explore Q’s capability before signing up. This feature makes it easy for authors to understand and learn about Q before signing up. View the full article
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Amazon QuickSight launches a suite of functions called Level Aware Calculations (LAC). The new calculation capability enables customers to specify the level of granularity that they want the window functions (in what window to partition by) or aggregate functions (at what level to group by) to be conducted. This brings flexibility and simplification for users to build some advanced calculations and powerful analyses. Without LAC, user will have to prepare pre-aggregated tables in their original data source, or run queries in the data prep phase to enable those calculations. For further details, visit here. View the full article
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Amazon QuickSight launches a suite of functions called Level Aware Calculations (LAC). The new calculation enables customers to specify the level of granularity that they want the window functions (in what window to partition by) or aggregate functions (at what level to group by) to be conducted. This brings flexibility and simplification for users to build some advanced calculations and powerful analyses. Without LAC, user will have to prepare pre-aggregated tables in their original data source, or run queries in the data prep phase to enable those calculations. For further details, visit here. View the full article
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Amazon QuickSight now supports monitoring of QuickSight assets by sending metrics to Amazon CloudWatch. QuickSight developers and administrators can use these metrics to observe and respond to the availability and performance of their QuickSight ecosystem in near real time. They can monitor dataset ingestions, dashboards, and visuals to provide their readers with a consistent, performant, and uninterrupted experience on QuickSight. For more information, visit here. View the full article
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Amazon QuickSight launches custom subtotals at all levels on Pivot Table. QuickSight authors can now customize how subtotals are displayed in Pivot Table, with options to display subtotals for last level, all levels or selected level. This customization is available for both rows and columns. To learn more about custom subtotals, see here. View the full article
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QuickSight Q can now accept full questions as input without requiring users to type them in when used in embedded mode. This new feature allows developers to create question as widgets at appropriate placements on their web applications making it easy for their users to discover the capability to ask questions about data within the current context of their user journey. View the full article
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Amazon QuickSight now provides authors the ability to show or hide any column, row or value fields from the field well context menu on pivot table visuals. This capability is currently supported in table visuals and this launch extends it to pivot table visuals. Readers and authors can now export the data to CSV and Excel from both table and pivot table from the context menu. View the full article
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Amazon QuickSight now provides an option for both author and readers the flexibility to use drag controller on table and pivot table. Authors and Readers can simply alter column width by dragging from cell, row header or column header from both parent and leaf level in case of pivot table. View the full article
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Amazon QuickSight now supports 1-click public embedding, a feature that allows you to embed your dashboards into public applications, wikis, and portals without any coding or development. Once enabled, anyone on the internet can start accessing these embedded dashboards with to up-to-date information instantly, without server deployments or infrastructure licensing needed! 1-click public embedding helps you empower your end users with access to insights in minutes. View the full article
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Amazon QuickSight dashboards can now visualize data from Amazon Elasticsearch Service. Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and run Elasticsearch cost effectively at scale. Authors in QuickSight can select Amazon Elasticsearch Service as a data source, select the specific data domain to analyze and start visualizing in QuickSight. See here to learn more. View the full article
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Today, we are excited to announce a new capability in Amazon QuickSight called Amazon QuickSight Q. Q is a machine learning-powered natural language capability that empowers business users to ask questions about all of their data using everyday business language and get answers in seconds. For example, users simply type “what is our year-over-year growth rate” and get an instant answer in QuickSight as a visualization. View the full article
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Amazon QuickSight launched enhancements to dashboard filtering experience. When readers slice and dice dashboards with filters, QuickSight will now persist filter selection until they return to the dashboard. Readers can pick up where they left off and do not have to re-select filters. Dashboard persistence is applicable to both QuickSight Web and the Mobile app. Persistence is an optional setting on embedded dashboards where QuickSight admins can choose to make dashboards persist using the getDashboardEmbedURL API. Persistence on web and mobile dashboards is available by default. To learn how to set up persistence on embedded dashboards, see here. View the full article
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Amazon QuickSight now supports Waterfall charts. Waterfall charts show how any metric is affected positively or negatively by a series of contributing factors. Dashboard authors can create a waterfall chart by choosing this new visual type from the visuals menu. See here for more details. View the full article
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Amazon QuickSight has added a powerful new data governance feature: Column Level Security (CLS). This feature compliments the existing Row Level Security (RLS) feature and, in combination, gives authors control over who can access what data within their visualizations. CLS enables dataset owners to apply restrictions on a per column basis. This ensures that users only see columns that they are allowed to see. For example, a dataset owner could set up their dataset so that only members of a Human Resources group could see salary information, while everyone can see less sensitive information, like first and last name. CLS can be configured on a dataset through the QuickSight interface and through APIs. See here to learn more. View the full article
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Amazon QuickSight is now available in the AWS GovCloud (US-West) Region. AWS GovCloud (US) Regions are isolated AWS Regions designed to host sensitive data and regulated workloads in the cloud, assisting customers who have United States federal, state, or local government compliance requirements. View the full article
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