Category: Learning Levels

AWS has been named a Strong Performer in the Forrester Wave’s 27-criterion evaluation of augmented business intelligence (BI) platforms providers for Q2 2023. Forrester evaluated 14 providers for their core BI features, ease of integration with machine learning, conversational UI, ease of use, and flexibility. Amazon QuickSight emerging as a Strong Performer validates for us […]

As 2023 comes to a close, we at the Amazon QuickSight team wanted to provide you with a summary of all that’s new in the product. Over the course of the year, we built capabilities that make data and insights more accessible to business users than ever before. From Amazon Q in QuickSight, which lets […]

Are you looking to deploy and manage your Amazon QuickSight assets using the QuickSight asset deployment APIs (also known as asset bundle APIs)? If so, you have two options for exporting your assets: QUICKSIGHT_JSON or CLOUDFORMATION_JSON format. In this post, we explore the pros and cons of each option to help you make the right choice for your organization’s asset needs. We also provide an overview of the API deployment options and some practical guidance on how to use the AWS CloudFormation format. So if you’re ready to learn more about the QuickSight deployment APIs and discover which export option is best for your needs, then let’s get started!

Global Mile is a foundational team within Amazon that helps to build, manage, and operate its global transportation network for orders that cross international borders. Global Mile Exports Visibility was set up in 2019 to architect and own the team’s data management, strategy, and underlying platform. In this post, we discuss how Global Mile migrated their BI dashboards and reports to Amazon QuickSight to enhance their operations.

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that you can use to connect to your data and create interactive dashboards that can be shared with tens of thousands of users. The dashboards can be used within QuickSight or embedded in software as a service (SaaS) apps. As we bid farewell to […]

Dialog Enterprise stands at the forefront as Sri Lanka’s leading ICT Business solution provider, catering to a diverse clientele of over 4000 enterprises across the island. Our comprehensive suite of services spans converged connectivity, cloud & co-location, security, data analytics, and IoT, all tailored to meet the distinct needs of businesses, regardless of their scale. In this post, we share how Dialog monetizes data using Amazon QuickSight, a unified, serverless business intelligence (BI) service enabling organizations to deliver data-driven insights to all users, and to set up dashboards and visualizations that let non-technical users interact with and explore the data.

Amazon QuickSight is a cloud-native, serverless business intelligence (BI) service that lets you build visualizations, perform ad hoc analysis, and gain insights through machine learning (ML) capabilities such as anomaly detection, forecasting, and natural language querying. QuickSight utilizes its robust in-memory engine SPICE (Super-fast, Parallel, In-memory Calculation Engine) to rapidly perform advanced calculations and deliver visuals.BigQuery is Google Cloud’s fully managed, petabyte-scale, cost-effective analytics data warehouse that lets you run analytics over vast amounts of data in near-real time. In this post, we walk you through the permissions and connection details needed in BigQuery to bring BigQuery data into QuickSight through OAuth and create a simple dashboard.

Amazon QuickSight is a fully managed, cloud-native business intelligence (BI) service that you can use to connect to your data and create interactive dashboards that can be shared with tens of thousands of users. The dashboards can be used within QuickSight or embedded in software as a service (SaaS) apps. Today, we’re launching a feature you can use to dynamically update the theme and filters of embedded dashboards and visuals at runtime through the QuickSight Embedding SDK. Runtime filtering and theming of embedded dashboards and visuals can help you seamlessly integrate your SaaS application with QuickSight embedded dashboards and visuals. You can now use the new methods available in the Embedding SDK

We heard that you wanted an automated, scalable way to deploy, back up, or replicate Amazon QuickSight assets at scale so that BIOps teams within your organization can work in an agile manner. We are launching QuickSight assets Create, Update, and Delete (CUD) events using Amazon EventBridge. With EventBridge, developers can respond automatically to events in QuickSight such as a new dashboard creation or update. These events are delivered to EventBridge in near real time. Developers can write simple rules to indicate which events are of interest to them and what actions to take when an event matches a rule. By subscribing and responding to QuickSight events in EventBridge, customers can automate their workflows, such as continuous deployment, replication, and backups.

Recently, we launched a range of new features for Tables and Pivot Tables in QuickSight centered around interactivity and performance, allowing you to alter field visibility, load tables faster, and build consistency across different interactions. Building on this momentum, we are excited to unveil two additional capabilities, this time with a focus on improving readability, presentation, and space optimization.